Publications

    2023:

  • Dongyu Zhang, Ruofan Hu, and Elke Rundensteiner. CoLafier: Collaborative Noisy Label Purifier With LID Guidance. SIAM International Conference on Data Mining. SDM 2024.
  • Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, and Elke Rundensteiner. Amalgamating Multi-Task Models with Heterogeneous Architectures. AAAI 2024.
  • Ricardo Flores, Avantika Shrestha, ML Tlachac, and Elke Rundensteiner. DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task. Special Session on Machine Learning on Big Data (MLBD) in IEEE BigData 2023.
  • Ricardo Flores, Avantika Shrestha, and Elke Rundensteiner. Multi-Task Learning Using Facial Features for Mental Health Screening. Special Session on HealthCare Data in IEEE BigData 2023.
  • Ruofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, and Elke Rundensteiner. UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection. Special Session on Machine Learning on Big Data (MLBD) in IEEE BigData 2023.
  • Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner. Stabilizing Adversarial Training for Generative Networks. Special Session on Machine Learning on Big Data (MLBD) IEEE BigData 2023.
  • Biao Yin, Yangyang Fan, Nicholas Josselyn, and Elke Rundensteiner. AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures. Special Session on Machine Learning for Predictive Models in Engineering Applications (MLPMEA) in 22nd IEEE International Conference on Machine Learning and Applications (ICMLA) 2023.
  • Biao Yin, Nicholas Josselyn, Thomas Considine, John Kelley, Berend Rinderspacher, Robert Jensen, James Snyder, Ziming Zhang, and Elke Rundensteiner. DeepSC-Edge: Scientific Corrosion Segmentation with Edge-Guided and Class-Balanced Losses. Special Session on Machine Learning for Predictive Models in Engineering Applications (MLPMEA) in 22nd IEEE International Conference on Machine Learning and Applications (ICMLA) 2023.
  • Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke Rundensteiner, and Emmanuel Agu. Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes. NeurIPS 2023.
  • Nikola Grozdani, America Muñoz, Alexander Pietrick, Ricardo Flores, Avantika Shrestha, Xingtong Guo, Shichao Liu and Elke Rundensteiner. Wearable Wellness: Depression Screening via Fitbit Data Collected During COVID-19 Pandemic. IEEE MIT Undergraduate Research Technology Conference (URTC) 2023. (REU Project Paper)
  • Peter M. VanNostrand, Huayi Zhang, Dennis Hofmann, and Elke Rundensteiner. FACET: Robust Counterfactual Explanation Analytics. ACM SIGMOD 2023.
  • Kathleen Cachel and Elke Rundensteiner. Fair&Share: Fast and Fair Multi-Criteria Selections. ACM CIKM 2023. Full Paper.
  • Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke Rundensteiner, Thomas Considine, John Kelley, Berend Rinderspacher, Robert Jensen, and James Snyder. MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. ACM CIKM 2023. Demonstration Paper.
  • Dandan Tao, Ruofan Hu, Dongyu Zhang, Jasmine Laber, Anne Lapsley, Timothy Kwan, Liam Rathke, Elke Rundensteiner, Hao Feng. A Novel Foodborne Illness Detection and Web Application Tool Based on Social Media. Journal on Food Engineering and Technology Applications of Artificial Intelligence in Food Industry, MDPI 2023.
  • Kathleen Cachel and Elke Rundensteiner. Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation. FAccT 2023.
  • Hilson Shresta, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner and Lane Harrison. Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking. FAccT 2023.
  • Jida Thadajarassiri, Tom Hartvigsen, Walter Gerych, Xiangnan Kong and Elke Rundensteiner. Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. AAAI 2023.
  • 2022:

  • Liang Zhang, Noura Alghamdi, Huayi Zhang, Mohamed Y. Eltabakh, and Elke A. Rundensteiner. PARROT: Pattern-Based Correlation Exploitation in Big Partitioned Data Series. VLDB Journal, 1-24, 2022.
  • ML Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, and Elke Rundensteiner. Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. 2022 IEEE International Conference on Big Data, Workshop on Big Data Analytics in Healthcare.
  • Nicholas Josselyn, Biao Yin, Ziming Zhang, and Elke Rundensteiner. An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations? 2022 IEEE International Conference on Big Data, Special session on Machine Learning on Big Data (MLBD2022).
  • Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke Rundensteiner, and Emmanuel Agu. HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition. 2022 IEEE International Conference on Big Data, 5th Special Session on HealthCare Data.
  • Nicholas Josselyn, Biao Yin, Thomas Considine, John Kelley, Berend Rinderspacher, Robert Jensen, James Snyder, Ziming Zhang, and Elke Rundensteiner. Transferring indoor corrosion image assessment models to outdoor images via domain adaptation. 21st IEEE International Conference on Machine Learning and Applications, 2022.
  • Avantika Shrestha, ML Tlachac, Ricardo Flores, Elke Rundensteiner. BERT Variants for Depression Screening with Typed and Transcribed Responses. Computing for Well-being (WellComp) Workshop, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) 2022.
  • Ricardo Flores, ML Tlachac, Avantika Shrestha, Elke Rundensteiner. AudiFace: Multimodal Deep Learning For Depression Screening, Temporal Facial Features for Depression Screening. Mental Health: Sensing and Intervention (MHSI) workshop, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) 2022
  • Ramesh Doddaiah, Prathyush Parvatharaju, Elke Rundensteiner, and Thomas Hartvigsen. Class-Specific Explainability for Deep Time Series Classifiers. IEEE Conf on Data Mining (ICDM), 2022
  • ML Tlachac, Avantika Shrestha, Mahum Shah, Benjamin Litterer, and Elke A. Rundensteiner. Automated Construction of Lexicons to Improve Depression Screening with Text Messages. IEEE Journal of Biomedical and Health Informatics (J-BHI), 2022.
  • Lei Cao, Yizhou Yan, Samuel Madden, and Elke Rundensteiner. AutoOD: Automatic Outlier Detection. ACM SIGMOD 2022.
  • Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu and Elke Rundensteiner. Robust Recurrent Classifier Chains For Multi-Label Learning With Missing Labels. ACM CIKM'2022.
  • Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong and Elke Rundensteiner. Stop&Hop: Early Classification of Irregular Time Series. ACM CIKM'2022.
  • ML Tlachac, Miranda Reisch, Brittany Lewis, Ricardo Flores, Lane Harrison, and Elke Rundensteiner. Impact Assessment of Stereotype Threat on Mobile Depression Screening using Bayesian Estimation. Healthcare Analytics, Elsevier Publisher, 2022.
  • Ricardo Flores, ML Tlachac, Ermal Toto, Elke Rundensteiner. AudiFace: Multimodal Deep Learning For Depression Screening. Machine Learning for Healthcare (MLHC), 2022.
  • Mallak Alkhathlan, ML Tlachac, Lane Harrison and Elke Rundensteiner. Improving Image Accessibility by Combining Haptic and Auditory Feedback. ASSETS'2022.
  • Ricardo Flores, ML Tlachac and Elke A. Rundensteiner. Measuring the Uncertainty of Environmental Good Preferences with Bayesian Deep Learning. 2022 ACM International Conference on Information Technology for Social Good (GoodIT 2022).
  • Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke A Rundensteiner and Lane Harrison. FairFuse: Interactive Visual Support for Fair Consensus Ranking. IEEE VIS, short paper, 2022.
  • ML Tlachac, Ricardo Flores, Ermal Toto, Elke A. Rundensteiner. Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings. Deep Learning Applications, Vol. 4, Book Chapter. Springer Verlag, 2022.
  • Ricardo Flores, ML Tlachac, Ermal Toto, Elke A. Rundensteiner. Transfer Learning for Depression Screening from Follow-up Clinical Interview Questions/ Deep Learning Applications, Vol. 4, Book Chapter. Springer Verlag, 2022.
  • Dennis Hofmann, Peter VanNostrand, Huayi Zhang, Yizhou Yan, Lei Cao, Samuel Madden, and Elke Rundensteiner. A Demonstration of AutoOD: A Self-Tuning Anomaly Detection. VLDB 2022.
  • ML Tlachac, Ricardo Flores, Miranda Reisch, Katie Housekeeper, Elke Rundensteiner DepreST-CAT: Retrospective Smartphone Call and Text Logs Collected During the COVID-19 Pandemic to Screen for Mental Illnesses. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), June 2022. Read More.
  • ML Tlachac, Ricardo Flores, Miranda Reisch, Rimsha Kayastha, Nina Taurich, Veronica Melican, Connor Bruneau, Hunter Caouette, Joshua Lovering, Ermal Toto, Elke Rundensteiner. StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), June 2022. Read More.
  • Kathleen Cachel and Elke Rundensteiner. FINS Auditing Framework: Group Fairness for Subset Selections, AAAI ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-2022), May 2022.
  • Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng and Elke Rundensteiner. TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks, Proceedings of the 13th Language Resources and Evaluation Conference, 2022.
  • Saskia Senn, ML Tlachac, R. Flores, E. Rundensteiner. Ensembles of BERT for Depression Classification, 4th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22).
  • Lei Ma, Chuan Lei, Olga Poppe, and Elke Rundensteiner. Gloria: Graph-based Sharing Optimizer for Event Trend Aggregation, ACM SIGMOD 2022. A recording of the conference presentation for this work is a available here.
  • Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke Rundensteiner, Emmanuel Agu. Positive Unlabeled Learning with a Sequential Selection Bias, SDM 2022.
  • Noura Alghamdi, Liang Zhang, Elke A. Rundensteiner, and Mohamed Y. Eltabakh. Scalable Time Series Compound Infrastructure, ACM SIGMOD 2022.
  • Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, and Elke Rundensteiner. Recovering the Propensity Score from Biased Positive Unlabeled Data, AAAI 2022.
  • Kathleen Cachel, Elke Rundensteiner, and Lane Harrison. MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus Ranking, IEEE International Conference on Data Engineering 2022 (ICDE 2022).
  • 2021:

  • Tabassum Kakar, Xiao Qin, Suranjan De, Sanjay Sahoo, Thang La, Elke Rundensteiner, and Lane Harrison. ConText: Supporting the Pursuit and Management of Evidence in Text-based Reporting Systems, International Joint Conference on Computer Vision, Imaging and Computer Graphics (2021)
  • Dandan Tao, Dongyu Zhang, Ruofan Hu, Elke Rundensteiner, and Hao Feng. Crowdsourcing and Machine Learning Approaches for Extracting Entities Indicating Potential Foodborne Outbreaks from Social Media, Sci Reports 11, 21678 (2021).
  • Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner. GAN For Generating User-Specific Human Activity Data From An Incomplete Training Corpus, 2021 IEEE International Conference on Big Data, 4th Special Session on HealthCare Data.
  • Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner. Human-like Explanation for Text Classification with Limited Attention Supervision, 2021 IEEE International Conference on Big Data.
  • Luke Buquicchio, Walter Gerych, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Thomas Hartvigsen, Elke Rundensteiner, and Emmanuel Agu. Variational Open Set Recognition, 2021 IEEE International Conference on Big Data.
  • Maryam Hasan, Elke Rundensteiner, and Emmanuel Agu. DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning, IEEE BigData 2021 Special Session: Machine Learning on Big Data (MLDB 2021).
  • Biao Yin, Nicholas Josselyn, Thomas Considine, John Kelley, Berend Rinderspacher, Robert Jensen, James Snyder, Ziming Zhang, and Elke Rundensteiner. Corrosion Image Data Set for Automating Scientific Assessment of Materials, British Machine Vision Conference (BMVC 2021).
  • Walter Gerych, Tom Hartvigsen, Luke Buquicchio, Emmanuel Agu, and Elke Rundensteiner. Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification, NeurIPS 2021.
  • ML Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke Rundensteiner. EMU: Early Mental Health Uncovering Framework and Dataset, 20th IEEE International Conference on Machine Learning and Applications (ICMLA) Special Session, Machine Learning in Health.
  • Ricardo Flores, ML Tlachac, Ermal Toto, and Elke Rundensteiner. Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews, 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Short Paper.
  • Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner. Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces, 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Short Paper.
  • Walter Gerych, Jessica Bader, Declan Nelson, Thalia Chai-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kevin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner. Local Geometry Preserving Deep Networks For Featurizing High-Dimensional Datasets, 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
  • Prathyush S Parvatharaju, Ramesh Doddaiah, Thomas W Hartvigsen and Elke A Rundensteiner. Learning Saliency Maps to Explain Deep Time Series Classifiers, CIKM 2021, Full Research Paper.
  • Ermal Toto, ML Tlachac, Elke Rundensteiner. AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening, CIKM 2021 Applied Research Track. This work was awarded Best Applied Research Paper at CIKM 2021.
  • Edwin Boudreaux, Elke Rundensteiner, Feifan Liu, Bo Wang, Celine Larkin, Emmanuel Agu, Samiran Ghosh, Joshua Semeter, Gregory Simon, and Rachel Davis-Martin. Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions, Frontiers in Psychiatry Journal, Section Mood and Anxiety Disorders, July 2021.
  • Huayi Zhang, Lei Cao, Samuel Madden, Elke Rundensteiner. LANCET: Labeling Complex Data at Scale, VLDB 2021.
  • ML Tlachac, Katherine Dixon-Gordon, and Elke Rundensteiner. Screening for Suicidal Ideation with Text Messages, IEEE International Conference on Biomedical and Health Informatics 2021 (BHI'21).
  • ML Tlachac, Veronica R. Melican, Miranda Hernandez-Reisch, and Elke Rundensteiner. Mobile Depression Screening with Time Series of Text Logs and Call Logs, IEEE International Conference on Biomedical and Health Informatics 2021 (BHI'21).
  • Huayi Zhang, Lei Cao, Peter VanNostrand, Sam Madden, and Elke Rundensteiner. ELITE: Robust Deep Anomaly Detection with Meta Gradient, ACM SIGKDD 2021.
  • Caitlin Kuhlman, Walter Gerych and Elke Rundensteiner. Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics AAAI ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-2021). 19-21 May 2021.
  • Tabassum Kakar, Xiao Qin, Thang La, Sanjay Sahoo, Suranjan De, Elke Rundensteiner, Lane Harrison. SumRe: Design and Evaluation of a Gist-based Summary Visualization for Incident Reports Triage. EuroVis 2021.
  • Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet and Elke Rundensteiner. To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams. ACM SIGMOD 2021.
  • Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner. Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts. IEEE Pervasive Computing, 2021.
  • Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner. Semi-Supervised Knowledge Amalgamation for Sequence Classification. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI, 2021). [code]
  • 2020:

  • Biao Yin, Thomas Considine, Fatemeh Emdad, John Kelley, Robert Jensen, and Elke Rundensteiner, Corrosion Assessment: Data Mining for Quantifying Associations between Indoor Accelerated and Outdoor Natural Tests, 2nd International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD) 2020, in 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Dec 2020. [paper]
  • Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner. Learning Similarity-Preserving Meta-Embedding for Text Mining, 2020 IEEE International Conference on Big Data. Regular paper. [code]
  • Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke Rundensteiner, and Emmanuel Agu. BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias, 2020 IEEE International Conference on Big Data. Short paper.
  • Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke Rundensteiner, and Fei Wang. Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding, 2020 IEEE International Conference on Big Data. Regular paper.
  • Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, and Aditya Arora. MLAS: Metric Learning on Attributed Sequences, 2020 IEEE International Conference on Big Data. Short paper.
  • Ramoza Ahsan, Rodica Neamtu, Muzammil Bashir, Elke Rundensteiner, and Gabor Sarkozy. Correlation-Based Analytics of Time Series Data, 2020 IEEE International Conference on Big Data.
  • ML Tlachac, Adam Sargent, Ermal Toto, Randy Paffenroth, Elke Rundensteiner. Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. 19th IEEE International Conference on Machine Learning and Applications.
  • Ermal Toto, ML Tlachac, Francis (Lee) Stevens, Elke Rundensteiner. Audio-based Depression Screening using Sliding Window Sub-clip Pooling. 19th IEEE International Conference on Machine Learning and Applications.
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke Rundensteiner and Xiangnan Kong, A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events, EMNLP 2020, (Findings of EMNLP). [video] [code]
  • Caitlin Kuhlman and Elke Rundensteiner. Rank Aggregation Algorithms for Fair Consensus. VLDB 2020.
  • Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, and Elke Rundensteiner. Learning to Selectively Update State Neurons in Recurrent Networks. 29th ACM Conference on Information and Knowledge Management (CIKM 2020). [code] [paper + video]
  • Muse: Multi-query Event Trend Aggregation. Allison Rozet, Olga Poppe, Chuan Lei, Elke Rundensteiner. 29th ACM Conference on Information and Knowledge Management (CIKM 2020). Short paper track.
  • Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, and Elke Rundensteiner. Time-Aware Transformer-based Network for Clinical Notes Series Prediction. Machine Learning for Healthcare (MLHC 2020).
  • Rodica Neamtu, Ramoza Ahsan, Cuong Tri, Charles J. Lovering, Gabor Sarkozy, Elke Rundensteiner. A General Approach For Supporting Time Series Matching using Multiple-Warped Distances in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
  • ML Tlachac and Elke Rundensteiner, Screening for Depression with Retrospectively Harvested Private versus Public Text, IEEE Journal of Biomedical and Health Informatics (J-BHI), 2020.
  • Thomas Hartvigsen, Cansu Sen, Xiangnan Kong and Elke Rundensteiner, Recurrent Halting Chain for Early Multi-label Classification, ACM KDD 2020. [code] [video] [paper]
  • Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong and Elke Rundensteiner, Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 2020. [data] [video] [paper]
  • Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Elke Rundensteiner, and Emmanuel Agu. ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms. EuroVis 2020, Short Paper.
  • Liang Zhang, Noura Alghamdi, Mohamed Y. Eltabakh, and Elke Rundensteiner, Big Data Series Analytics Using TARDIS and its Exploitation in Geospatial Applications, ACM SIGMOD 2020. Demonstration paper.
  • Ml Tlachac and Elke Rundensteiner. Depression Screening from Text Message Reply Latency. 42nd Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 20-24, 2020.
  • Ml Tlachac, Elke Rundensteiner, Kerri Barton, T. Scott Troppy, Kirthana Beaulac and Shira Doron, Anomalous Antimicrobial Resistant Trend Identification, 42nd Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC). Montreal, Canada, July 20-24, 2020.
  • Erin Teeple, Caitlin Kuhlman, Brendan Werner, Randy Paffenroth, Elke Rundensteiner, Air Quality and Cause-Specific Mortality in the United States: Association Analysis by Regression and CCA for 1980-2014, HEALTHINF 2020, January 2020.
  • Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu and Elke Rundensteiner, DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition, IEEE International Conference On Semantic Computing, ICSC 2020, San Diego, Jan 2020.
  • Erin Teeple, Thomas Hartvigsen, Cansu Sen, Kajal Claypool, Elke Rundensteiner, Clinical Performance Evaluation of a Machine Learning System for Predicting Hospital-Acquired Clostridium Difficile Infection, Short paper. HEALTHINF 2020, January 2020. HEALTHINF 2020. Best Poster Award.
  • Huayi Zhang, Lei Cao, Yizhou Yan, Elke Rundensteiner and Samuel Madden, Continuously Adaptive Similarity Search, ACM SIGMOD 2020, Portland, Oregan 2020.
  • Moodable: Instantaneous Depression Assessment using Machine Learning on Voice Samples and Retrospectively Harvested Smartphone and Social Media Data, Ada Dogrucu, Alex Perucic, Anabella Isaro, Damon Ball, Ermal Toto, Elke Rundensteiner, Emmanuel Agu, Rachel Davis-Martin, Edwin Boudreaux, Smart Health, Elsevier Pub, 2020.
  • 2019:

  • Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner, Learning Temporal Relevance in Longitudinal Medical Notes, IEEE International Conference on Big Data, 2019, 5th Special Session on Intelligent Data Mining.
  • Ramoza Ahsan, Muzammil Bashir, Rodica Neamtu, Elke Rundensteiner, and Gabor Sarkozy, Nearest Neighbor Subsequence Search in Time Series Data, IEEE International Conference on Big Data, 2019. 5th Special Session on Intelligent Data Mining.
  • Tabassum Kakar, Xiao Qin, Elke Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo and Suranjan De, DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions, Special issue, Computer Graphics Forum (CGF) journal (from EuroVis 2019), To Appear.
  • Maryam Hasan, Emmanuel Agu and Elke Rundensteiner, Automatic Emotion Detection in Text Streams by Analyzing Twitter Data, International Journal of Data Science and Analytics, 7(1): 35-51 (2019) https://doi.org/10.1007/s41060-018-0096-z
  • Muzammil Bashir, Ramoza Ahsan, and Elke Rundensteiner, A deep learning approach to trespassing detection using video surveillance data, Workshop session on Applications of Big Data Technology in the Transport Industry, Big Data 2019.
  • Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner, Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention, IEEE International Conference on Big Data 2019. (research track)
  • Noura Alghamdi, Liang Zhang, Huayi Zhang, Elke Rundensteiner, and Mohamed Eltabakh, Chainlink: Indexing Big Time Series Data For Long Subsequence Matching, IEEE Int. Conf. on Data Engineering, ICDE 2020.
  • Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, and Aditya Arora, Attributed Sequence Embedding IEEE International Conference on Big Data 2019. (short paper)
  • Jessica Bader, N. Declan, Thalia Chai-Zhang, Walter Gerych, Elke Rundensteiner, Neural Network for Nonlinear Dimension Reduction Through Manifold Recovery, 2019 IEEE MIT URTC (Undergraduate Research Technology Conference), IEEE Xplore Digital Library.
  • Daniel Jonston, Liubou Klindziuk, Lolita Nazarov, Thomas Hartvigsen, Elke Rundensteiner, Early Daignosis Prediction with Recurrent Neural Networks, 2019 IEEE MIT URTC, Oct, l 2019, IEEE Xplore Digital Library. 2nd Place Best Paper Award.
  • Kavin Chandrasekaran, Hamid Mansoor, Walter Gerych, Luke Buquicchio, Elke Rundensteiner, and Emmanuel Agu, Get Up: Assessing Postural Activity & Transitions Using Bi-Directional Gated Recurrent Units (Bi-GRUs) on Smartphone Motion Data, 2019 IEEE Healthcare Innovations and Point of Care Technologies Conference (HI-POCT), poster presentation, Bethesda, Maryland, USA from November 20-22, 2019.
  • Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Elke Rundensteiner, and Emmanuel Agu, DELFI:Mislabelled Human Context Detection Using Multi-Feature Similarity Linking, Visualization in Data Science (VDS) workshop, IEEE VIS 2019 (Vancouver, BC)
  • Thomas Hartvigsen, Cansu Sen, Xiangnan Kong and Elke Rundensteiner, Adaptive-Halting Policy Network for Early Classification, ACM KDD 2019. (research track).
  • Tabassum Kakar, Xiao Qin, Elke Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo and Suranjan De, DIVA: Exploration and Validation of Hypothesized Drug-Drug Interactions EuroVis 2019, Full Papers Track, June 3-7, 2019, in Porto, Portugal.
  • Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Elke Rundensteiner, and Emmanuel Agu, COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics, 1st IEEE International Workshop on Deep Analysis of Data Driven Applications (DADA 2019), COMPSAC 2019, Milwaukee, Wisconsin, USA.
  • Bo Wang, Bonita Stanton, Elke Rundensteiner, Feifan Liu and Lynette Deveaux, Adolescent HIV-related behavioral prediction using machine learning: Building a foundation for precision HIV prevention, (extended abstract), Roundtable presentation, American Public Health Association Annual Meeting, (APHA'2019 Annual Meeting and Expo (Nov. 2 - Nov. 6), Philadelphia, 2019
  • Lei Cao, Yizhou Yan, Sam Madden, Elke Rundensteiner, Efficient Discovery of Sequence Outlier Patterns, VLDB Vol 12, Iss. 8, Los Angeles, 2019.
  • Tabassum Kakar, Xiao Qin, Cory M. Tapply, Oliver Spring, Derek Murphy, Daniel Yun, Elke Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo, and Suranjan De, MEV: Visual Analytics for Medication Error Detection. 10th International Conference on Information Visualization Theory and Applications, VISIGRAPP 2019.
  • Olga Poppe, Chuan Lei, A. Rozet, Elke Rundensteiner and D. Maier, Event Trend Aggregation Under Rich Event Matching Semantics. ACM SIGMOD 2019, Amsterdam, 2019.
  • Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner, Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining', Full paper, plus also selected for presentation at the Special Session: Decision-support computing by data-driven and AI-based approaches for healthcare, IEEE International Conference on Biomedical and Health Informatics (BHI 19), Dorin Forum, University of Illinois at Chicago, Chicago, IL, USA, May 19-22, 2019.
  • ML Tlachac, E. Toto, Elke Rundensteiner, You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression, IEEE International Conference on Biomedical and Health Informatics (BHI 19), Dorin Forum, University of Illinois at Chicago, Chicago, IL, USA, May 19-22, 2019.
  • ML Tlachac, Elke Rundensteiner, The 10 Most Important Features in Predicting Depression from Content of Retrospectively Harvested Text Messages, IEEE International Conference on Biomedical and Health Informatics (BHI 19), Dorin Forum, University of Illinois at Chicago, Chicago, IL, USA, during May 19-22, 2019. (Extended Abstract)
  • Caitlin Kuhlman, Maryann Vanvalkenburg and Elke Rundensteiner, FARE: Diagnostics for Fair Ranking using Pairwise Error Metrics, World Wide Web Conference (WWW 19). San Francisco. Short paper, research track.
  • Caitlin Kuhlman, Maryann Vanvalkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Lane Harrison and Elke Rundensteiner, Evaluating Preference Collection Methods for Interactive Ranking Analytics ACM Conference on Human Factors in Computing Systems (CHI 19).
  • Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, AMAS: Deep Attention Model for Attributed Sequence Classification, SIAM International Conference on Data Mining (SDM 19). Calgary, Canada, May 2-4, 2019.
  • Walter Gerych, Emmanuel Agu, and Elke Rundensteiner, Classifying Depression in Imbalanced Datasets using an Autoencoder-Based Anomaly Detection Approach (short paper), IEEE International Conference On Semantic Computing, ICSC 2019: 124-127.
  • Tabassum Kakar, Xiao Qin, Cory Tapply, Derek Murphy, Daniel Yun, Oliver Spring, Elke Rundensteiner, Lane Harrison, Thang La, Sanjay K. Sahoo and Suranjan De, MedViz: Visual Analytics for Medication Error Detection, IVAPP, No 4, full paper, 2019. (Selected among top candidates for IVAPP 2019 best paper award).
  • Xiao Qin, Lei Cao, Elke Rundensteiner and Samuel Madden, Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams, EDBT 2019.
  • Yizhou Yan, Lei Cao, Sam Madden, Elke Rundensteiner, SWIFT: Mining Representative Patterns from Large Event Streams, VLDB 19, Vol 12, Los Angeles, CA.
  • Liang Zhang, Noura Alghamdi, Mohamed Eltabakh, and Elke Rundensteiner, TARDIS: Distributed Indexing Framework for Big Time Series Data, IEEE ICDE 2019.
  • 2018:

  • Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, and Aditya Arora, Deep One-Shot Learning on Attributed Sequences, full paper, IEEE Big Data, 2018. (18.9% acceptance rate).
  • M.L. Tlachac, Elke Rundensteiner, Scott Troppy, Kirthana Beaulac, Shira Doron, and Kerri Barton, Predictive Modeling of Emerging Antibiotic Resistance Trends, Communications in Computer and Information Science Journal (CCIS), Vol 1024, Biomedical Engineering Systems and Technologies, BIOSTEC 2018, chapter 18, Springer Verlag, 2018. #978-3-030-29195-2.
  • Thomas Hartvigsen, Cansu Sen, and Elke Rundensteiner, Prediction of MRSA Infections By Fusing Structured and Unstructured Electronic Health Record Data, Communications in Computer and Information Science Journal (CCIS), Vol 1024, Biomedical Engineering Systems and Technologies, BIOSTEC 2018, chapter 18, Springer Verlag, 2018. #978-3-030-29195-2.
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Monica Lauren Tlachac, Xiangnan Kong, Elke Rundensteiner, Sanjay K. Sahoo, and Suranjan De, Multi-Layer Learning For Information Extraction from Adverse Drug Event Narratives, Communications in Computer and Information Science Journal (CCIS), Vol 1024, Biomedical Engineering Systems and Technologies, (BIOSTEC 2018), chapter 18, Springer Verlag, 2018. #978-3-030-29195-2.
  • Abhishek Mukherji, Xika Lin, Ermal Toto, Christopher Ryan Botaish, Jason Whitehouse, Elke Rundensteiner, and Matt Ward, FIRE: A Two-level Interactive Visualization for Deep Exploration of Association Rules International Journal of Data Science and Analytics, April 2019, Vol 7, No. 3, pp. 201-226 (First online 16 June 2018).
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Cansu Sen, Elke Rundensteiner, Xiangnan Kong, Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embeddings, Drug Safety Journal, Springer Nature, Dec 2018. DOI: 10.1007/s40264-018-0765-9
  • Julia Friend, Alec Hauck, Sruthi Kurada, Tom Hartvigsen, Cansu Sen, Elke Rundensteiner, Handling Missing Values in Multivariate Time Series Classification, 2018 IEEE MIT URTC (Undergraduate Research Technology Conference), IEEE Xplore Digital Library. Paper and presentation, Oct 5-7, 2018
  • Brian Zylich, Brian McCarthy, Andrew Schade, Huy Quoc Tran, Xiao Qin, Tabassum Kakar, and Elke Rundensteiner, Drug-Drug Interaction Signal Detection from Drug Safety Reports, 2018 IEEE MIT URTC (Undergraduate Research Technology Conference), IEEE Xplore Digital Library. Paper and presentation, Oct 5-7, 2018
  • Liang Zhang, Noura Alghamdi, Mohamed Eltabakh, and Elke Rundensteiner, Distributed Indexing Framework for Big Time Series Data for Apache Spark, Spark + AI Summit 2018, Europe, London, October 2-4, 2018. (talk only)
  • Ermal Toto, Brendan J. Foley, and Elke Rundensteiner, Improving Emotion Detection with Sub-clip Boosting, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Applied Data Science track, Springer LNCS, 2018.
  • Tabassum Kakar, Xiao Qin, Andrew Schade, Brian McCarthy, Huy Quoc Tran, Brian Zylich, Elke Rundensteiner, Lane Harrison, Sanjay K. Sahoo and Suranjan De. DEVES: Interactive Signal Analytics for Drug Safety, Conference on Information and Knowledge Management (CIKM) DEMO, 2018.
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke Rundensteiner and Xiangnan Kong, Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records, AMIA 2018 Annual Symposium, Poster, Nov. 6, 2018.
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke Rundensteiner, and Xiangnan Kong, Bidirectional LSTM-CRF for Adverse Drug Event Tagging in Electronic Health Records, Proceedings of Machine Learning Research (PMLR), Volume 90: International Workshop on Medication and Adverse Drug Event Detection, (Special Issue for MADE 2018 Workshop, May 4th, 2018), Editors: Feifan Liu, Abhyuday Jagannatha, Hong Yu, PMLR 90: pp. 48-56, 2018.
  • Caitlin Kuhlman, Maryann Vanvalkenburg, Diana Doherty, Malika Nurbekova, Goutham Deva, Zarni Phyo, Lane Harrison and Elke Rundensteiner, Preference-driven Interactive Ranking System for Personalized Decision Support, CIKM 2018 conference, demonstration. (25% acceptance rate).
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke Rundensteiner and Xiangnan Kong, Deep Learning using Letter and Word Embeddings, AMIA 2018 Informatics Summit: Translational, Clinical Research, Implementation, and Data Science, Frontiers of Clinical Information Extraction: Current Progress in Medication and Adverse Drug Event Detection from Electronic Health Records, MADE 1.0 Panel, March 12-15, 2018, San Franscico, CA. (Winner: Among top 3 teams for Task 1).
  • Kirthana Beaulac, ML Tlachac, Elke Rundensteiner, Kerri Barton, Scott Troppy, Shira Doron, Utilization of Predictive Modeling to Identify Emerging Statewide Antibiotic Resistance Trends, The Society for Healthcare Epidemiology of America - SHEA 2018, IEEE Int Conf on Data Eng.SHEA Spring Conference: Science Guiding Prevention, Oral Presentation, Portland, OR, April 18 - 20, 2018. (Selected as a Top Featured Abstract, one among 5 outstanding abstracts selected for this presentation).
  • Olga Poppe, Chuan Lei, A. Rozet, Elke Rundensteiner and D. Maier, Sharon: Shared Online Event Sequence Aggregation, IEEE Int Conf on Data Eng., (ICDE) 2018, Paris, April 16-20, 2018.
  • Rodica Neamtu, Ramoza Ahsan, Gabor Sarkozy, Elke Rundensteiner, Eamonn Keogh, Hoang Anh Dau, Nguyen Dinh, Cuong Tri; and Lovering, Charles J., Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-to-Point Distances, IEEE Int Conf on Data Eng. (ICDE) 2018, Paris, April 16-20, 2018.
  • Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Brian McCarthy, Andrew Schade, Huy Quoc Tran, Brian Zylich, Elke Rundensteiner, Lane Harrison, Sanjay K. Sahoo, Suranjan De, MeDIAR: Multi-Drug Adverse Reactions Analytics, IEEE Int Conf on Data Eng. (ICDE) 2018, demonstration paper, Paris, April 16-20, 2018.
  • Suranjan De, MeDIAR: Multi-Drug Adverse Reactions Analytics, IEEE Int Conf on Data Eng. (ICDE) 2018, demo. paper, Paris, April 2018.
  • Monica Tlachac, Elke Rundensteiner, Kerri Barton, Scott Troppy, Kirthana Beaulac, Shira Doron, Jian Zou, CASSIA: An Assistant For Identifying Clinically and Statistically Significant Decreases in Antimicrobial Susceptibility 2018 IEEE International Conference on Biomedical and Health Informatics (BHI-2018), March 4-7, 2018.
  • Thomas Hartvigsen, Cansu Sen, Sarah Brownell, Erin Teeple, Xiangnan Kong, Elke Rundensteiner, Early Prediction of MRSA Infections Using Electronic Health Records, HEALTHINF 2018, Funchal, Portugal, January 19-21, 2018.
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke Rundensteiner, Sanjay K. Sahoo, Suranjan De, One Size Does Not Fit All: An Ensemble Approach Towards Information Extraction from Adverse Drug Event Narratives, HEALTHINF 2018, Funchal, Portugal, January 19-21, 2018.
  • ML Tlachac, Elke Rundensteiner, Kerri Barton, Scott Troppy, Kirthana Beaulac, and Shira Doron, Predicting Future Antibiotic Susceptibility using Regression-based Methods on Longitudinal Massachusetts Antibiogram Data, Proc. of 11th Int. Conf on Health Informatics (HEALTHINF 2018), Funchal, Portugal, January 19-21, 2018.
  • 2017:

  • Yanwei Yu, Lei Cao, Wang Qin, Elke Rundensteiner Outlier Detection over Massive-Scale Trajectory Streams, ACM Transactions on Database Systems (TODS), v.42 n.2, June 2017
  • Sarah Brownell ( REU student), Mentored by Graduate student: Tom Hartvigsen (who had been an REU student himself as undergraduate student) And Faculty Advisors: Professor Xiangnan Kong and Elke Rundensteiner Title of Poster : MRSA Infection Prediction System. Accepted as poster for presentation at 2017 IEEE MIT Undergraduate Research Technology Conference, Nov 2017, http://ieee.scripts.mit.edu/conference
  • Courtney Burns (REU) and Jennifer Ha (REU), with WPI undergraduate student Andrew Schade (WPI) Mentored by Graduate student: Ermal Toto and by Faculty Advisors: Professors E. Agu and Elke Rundensteiner Title of Poster : Using Machine Learning to Detect Depression by Voice, Accepted as poster for presentation at 2017 IEEE MIT Undergraduate Research Technology Conference, Nov 2017, http://ieee.scripts.mit.edu/conference
  • Yizhou Yan, Lei Cao, and Elke Rundensteiner, Distributed Top-N Local Outlier Detection in Big Data, IEEE Big Data 2017 conference, Boston, MA.
  • Olga Poppe, Chuan Lei, Elke Rundensteiner and D. Maier, GRETA: Graph-based Real-time Event Trend Aggregation. VLDB 2018. (accepted Aug. 2017).
  • Mingrui Wei, Lei Cao, Chris Cormier, Hui Zheng and Elke Rundensteiner, Interactive Outlier Analytics, The 26th ACM International Conference on Information and Knowledge Management (CIKM), Demonstration paper, November 6-10, 2017, Singapore.
  • Caitlin Kuhlman and Elke Rundensteiner, Towards an Interactive Learning-to-Rank System for Economic Competitiveness Understanding, KDD 2017, Workshop on Interactive Data Exploration and Analytics (IDEA'17), 2017
  • Caitlin Kuhlman, Yizhou Yan, Lei Cao, and Elke Rundensteiner, Pivot-based Distributed K-Nearest Neighbor Mining, European Conference on Machine Learning, Principles and Practice of Knowledge Discovery (ECML-PKDD) 2017, Research Track, Springer LNCS, 27% acceptance rate.
  • Cansu Sen, Thomas Hartvigsen, Elke Rundensteiner, and Kajal Claypool, CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Applied Data Science track, Springer LNCS, 2017,
  • Maryam Hasan, Elke Rundensteiner, Xiangnan Kong and Emmanuel Agu, Discovery of Public Emotion Using Social Sensing, WebSIG Newsletter, Winter 2017.
  • Yizhou Yan, Lei Cao, Caitlin Kuhlman and Elke Rundensteiner, Distributed Local Outlier Detection in Big Data, ACM KDD, Research Track, 2017.
  • Xiao Qin, Tabassum Kakar, Susmitha Wunnava, Elke Rundensteiner, Lei Cao, MARAS: Signaling Multi-Drug Adverse Reactions, ACM KDD, Applied Data Science Track, 2017.
  • Rodica Neamtu, Ramoza Ahsan, Charles Lovering, Cuong Tri Nguyen, Elke Rundensteiner and Gabor Sarkozy Interactive Time Series Analytics Powered by ONEX, ACM SIGMOD'2017, demonstration and paper, Chicago, IL, 2017.
  • Yizhou Yan, Lei Cao, Caitlin Kuhlman and Elke Rundensteiner, Distributed Local Outlier Detection in Big Data, ACM KDD, Research Track, 2017. (17.51% acceptance rate)
  • Yizhou Yan, Lei Cao, and Elke Rundensteiner, Scalable Top-n Local Outlier Detection, ACM KDD, Research Track, 2017. (17.51% acceptance rate)
  • Lei Cao, Yizhou Yan, Caitlin Kuhlman, Qingyang Wang, Elke Rundensteiner and Mohamed Eltabakh, Multi-tactic Distance-based Outlier Detection, ICDE'2017, San Diego, 2017.
  • Olga Poppe, Chuan Lei, Elke Rundensteiner, Dan Dougherty, Goutham Deva, Nicholas Fajardo, James Owens, Thomas Schweich Maryann VanValkenburg, Sarun Paisarnsrisomsuk, Pitchaya Wiratchotisatian, George Gettel, Robert Hollinger, Devin Roberts, and Daniel Tocco CAESAR: Context-Aware Event Stream Analytics for Urban Transportation Services, demonstration paper, EDBT 2017 Conference, Venice, 2017.
  • Maryam Hasan, Elke Rundensteiner, Xiangnan Kong and Emmanuel Agu, Using Social Sensing to Discover Trends in Public Emotion, IEEE International Conference on Semantic Computing (IEEE ICSC 2017), San Diego, CA, Jan 2017. HONORABLE MENTION (AMONG TOP 6 PAPERS).
  • Olga Poppe, Chuan Lei, Salah Ahmed and Elke Rundensteiner, Complete Event Trend Detection in High-Rate Event Streams, ACM SIGMOD'2017, Chicago, IL, 2017.
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Vimig Socrates, Amber Wallace, Elke Rundensteiner, Towards Transforming FDA Adverse Event Narratives into Actionable Structured Data for Improved Pharmacovigilance, ACM Symposium on Applied Computing (SAC 2017) - Data Mining Track, Full Paper, Marrakech, Morocco, April 3-7, 2017.
  • Ramoza Ahsan, Rodica Neamtu, and Elke Rundensteiner, Gabor Sarkozy, Interactive Time Series Exploration Powered by the Marriage of Similarity Distances, (PC Chairs: Peter Boncz and Ken Salem) Proc. VLDB'2017, Vol 10.
  • 2016:

  • R. Ahsan, R. Neamtu, Elke Rundensteiner Using entity identification and classification for automated integration of spatial-temporal data, International Journal of Design and Nature and Ecodynamics, 07/2016; 11(3):186-197. DOI:10.2495/DNE-V11-N3-186-197, WIT Press.
  • Charles Lovering, Cuong Nguyen, Rodica Neamtu, Ramoza Ashan, Elke Rundensteiner, and Gabor Sarkozy, INSIGHT: Interactive Time Series Analytics System, poster, 2016 IEEE MIT Undergraduate Research Technology Conference (URTC), Nov 2016.
  • Dmytro Bogatov, Caitlin Kuhlmann, Elke Rundensteiner, 'Data MATTERS: Customizing Economic Indices to Measure State Competitiveness', poster, 2016 IEEE MIT Undergraduate Research Technology Conference (URTC), Nov 2016.
  • Zhongfang Zhuang, Chuan Lei, Elke Rundensteiner and Mohamed Eltabakh PRO: Preference-Aware Recurring Query Optimization, ACM Conference on Information and Knowledge Management (CIKM 2016).
  • Ermal Toto, Elke Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal Claypool, Jun Luo, and Fan Zhang, PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations, ECML/PKDD 2016, Sept 2016, Springer Verlag, LNAI Series.
  • Ramoza Ahsan, Rodica Neamtu, and Elke Rundensteiner, Towards automated big data integration using entity identification and classification, International Conference on Big Data, Alicante, Spain, May 2016.
  • Salah Ahmed, Olga Poppe, and Elke Rundensteiner, Event Sequence Detection over Interval-Based Event Streams, The 3rd International Conference on Advances in Big Data Analytics, ABDA'16: July 25-28, 2016, Las Vegas, USA.
  • Ramoza Ahsan, Rodica Neamtu, and Elke Rundensteiner, Towards Spreadsheet Integration using Entity Identification Driven by a Spatial-Temporal Model, The 31st ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2016), Pisa, Italy. Best Research Poster Award.
  • Lei Cao, Jiayuan Wang, Elke Rundensteiner: Multi-query outlier detection over data streams: poster. DEBS 2016: 362-365
  • Medhabi Ray, Chuan Lei, Elke Rundensteiner: SPASS: scalable event stream processing leveraging sharing opportunities: poster. DEBS 2016: 336-339
  • Rodica Neamtu, Ramoza Ahsan, Elke Rundensteiner, Gabor Sarkozy, Interactive Online Exploration of Time Series Data sets, MIT, NEDB Day, Jan 28, 2016. (presentation).
  • Manasi Vartak, Venkatesh Raghavan, Elke Rundensteiner, and Sam Madden, Refinement Driven Processing of Aggregation Constrained Queries EDBT 2016 Conference, Bordeaux, France, March 15-18, 2016.
  • Olga Poppe, Chuan Lei, Elke Rundensteiner, and Daniel Dougherty, Context-aware event stream analytics, EDBT 2016 Conference, Bordeaux, France, March 15-18, 2016.
  • Xiao Qin, Ramoza Ahsan, Xika Lin, and Elke Rundensteiner, Interactive Temporal Association Analytics, EDBT 2016 Conference, Bordeaux, France, March 15-18, 2016.
  • Medhabi Ray, Chuan Lei, Elke Rundensteiner: Scalable Pattern Sharing on Event Streams. SIGMOD Conference 2016: 495-510
  • Lei Cao, Jiayuan Wang, Elke Rundensteiner: Sharing-Aware Outlier Analytics over High-Volume Data Streams. SIGMOD Conference 2016: 527-540
  • Kaiyu Zhao, Matthew Ward, Elke Rundensteiner, and Huong Higgins, MaVis: Machine Learning Aided Multi-Model Framework for Time Series Visual Analytics, IST International Symposium on Electronic Imaging 2016, Visualization and Data Analysis Conference (VDA 2016) 2016. Best Paper Award.
  • 2015:

  • A Prospective Controlled Trial of an Electronic Hand Hygiene Reminder System Richard T. Ellison III, Constance M. Barysauskas, Elke Rundensteiner, Di Wang and Bruce Barton, Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester Massachusetts, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester Massachusetts USA Oxford Journals, Vol 2, Issue 4, Oct 2015.
  • Karen Works, Elke Rundensteiner: Practical Identification of Dynamic Precedence Criteria to Produce Critical Results from Big Data Streams. Big Data Research 2(4): 127-144 (2015)
  • Elke Rundensteiner, Olga Poppe, Chuan Lei, Medhabi Ray, Lei Cao, Yingmei Qi, Mo Liu, Di Wang: Exploiting Sharing Opportunities for Real-time Complex Event Analytics. IEEE Data Eng. Bull. 38(4): 82-93 (2015).
  • Lei Cao, Mingrui Wei, and Elke Rundensteiner, Online Outlier Exploration Over Large Datasets, ACM SIGKDD, 2015.
  • Chuan Lei, Zhongfang Zhuang, Elke Rundensteiner, Mohamed Y. Eltabakh, Shared Execution of Recurring Workloads in MapReduce, PVLDB Proceedings, Volume 8, Issue 7 (2015). The 41st International Conference on Very Large Data Bases (VLDB), August 31st - September 4th, 2015, Kohala Coast, Hawaii.
  • Mingzhu Wei, Elke Rundensteiner and M. Mani, INSURE: An Integrated Load Reduction Framework for XML Stream Processing, ICDE'2015, Korea.
  • 2014:

  • Karen Works and Elke Rundensteiner, Reliable Aggregation Over Prioritized Data Streams, LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems 14: pp. 1-25 (2014).
  • Kaiyu Zhao, Matthew Ward and Elke Rundensteiner, and Higgins, Huong N, LoVis: Local Pattern Visualization for Model Refinement, Computer Graphics Forum (CGF) Journal, Special Issue, 33(3): 331-340 (2014).
  • Karen Works and Elke Rundensteiner, Preferential Resource Allocation in Stream Processing Systems, International Journal of Cooperative Information Systems, Volume 23, Issue 04, December 2014,
  • Chuan Lei, Elke Rundensteiner, Robust Distributed Query Processing for Streaming Data, ACM Transactions on Database Systems, 39(2): 17 (2014).
  • Abhishek Mukherji, Elke Rundensteiner and Matthew Ward, Facilitating Interactive Mining of Global and Local Association Rules, 7th Workshop PIKM'14, ACM CIKM'2014. (Invited Publication).
  • Karen Works and Elke Rundensteiner, Utilizing Dynamic Precedence Criteria To Ensure the Production of Critical Results from Big Data Streams, BigData 2014: The Fourth ASE International Conference on Big Data, Harvard Univ., 2014, Cambridge, Massachusetts. Dec 14-16, 2014. Best paper award.
  • Maryam Hasan, Emmanuel Agu and Elke Rundensteiner, Using Hashtags as Labels for Supervised Learning of Emotions in Twitter Messages, ACM SIGKDD Workshop on Healthcare Informatics (HI-KDD 2014), August 24, 2014, New York City, NY.
  • Yanwei Yu, Lei Cao, Elke Rundensteiner, and Qin Wang, Detecting Moving Object Outliers In Massive-Scale Trajectory Streams, ACM SIGKDD, New York, 2014. pp. 422-431.
  • Rodica Neamtu, Ramoza Ahsan, Jeff Stokes, Armend Hoxha, Dongyun Zhang, Jialiang Bao, Stefan Gvozdenovic, Nilesh Patel, Raghu Rangan, Stefan Gvozdenovic, Ted Meyer, Yumou Wang, and Elke Rundensteiner, Taming Big Data: Integrating diverse public data sources for economic competitiveness analytics First International Workshop on Bringing the Value of Big Data to Users (DATA4U 2014), in conjunction with VLDB 2014, Hangzhou, China, Sept. 1, 2014.
  • Xiao Qin, Ramoza Ahsan, Xika Lin, Elke Rundensteiner and Matthew Ward, iPARAS: Incremental Construction of Parameter Space for Online Association Mining, ACM SIGKDD 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine-14), 2014, New York City, NY.
  • Chuan Lei, Zhongfang Zhuang, Elke Rundensteiner, Mohamed Y. Eltabakh: Redoop Infrastructure for Recurring Big Data Queries. PVLDB 7(13): 1589-1592 (2014)
  • Lei Cao, Qingyang Wang, and Elke Rundensteiner, Interactive Outlier Exploration in Big Data Streams, PVLDB 7(13): 1621-1624 (2014)
  • Xika Lin, A. Mukerjee, Elke Rundensteiner, and M. Ward, SPIRE: Supporting Parameter-Driven Interactive Rule Mining and Exploration, Paper and Demonstration, PVLDB Proceedings, Volume 7 (2014)
  • Ramoza Ahsan, Rodica Neamtu, Jeff Stokes, Armend Hoxha, Dongyun Zhang, Jialiang Bao, Nilesh Patel, Raghu Rangan, Stefan Gvozdenovic, Ted Meyer, Yumou Wang, and Elke Rundensteiner, Massachusetts Economy and Technology Indicator System, International Workshop on Data Science for Macro-Modeling (DSMM 2014), June 27, 2014, Snowbird, Utah, United States.
  • Maryam Hasan, Elke Rundensteiner and Emmanuel Agu, EMOTEX: Detecting Emotions in Twitter Messages, Academy of Science and Engineering (ASE), Social Computing 2014, May 27-31, 2014, Stanford, CA. USA.
  • Kaiyu Zhao, Matthew Ward and Elke Rundensteiner, and Higgins, Huong N, LoVis: Local Pattern Visualization for Model Refinement, EuroVis 2014 Papers, June 9-13, 2014, Swansea, Wales. now appear in Special issue of Computer Graphics Forum (CGF) Journal,
  • Yingmei Qi, Lei Cao, Medhabi Ray, Elke Rundensteiner, Complex Event Analytics: Online Aggregation of Stream Sequence Patterns, ACM SIGMOD 2014. pp. 229-240.
  • Chuan Lei, Elke Rundensteiner and Mohamed Eltabakh, Redoop: Supporting Recurring Queries in Hadoop, EDBT'2014. pp. 25-36.
  • Venkatesh Raghavan and Elke Rundensteiner, CAQE: A Contract Driven Approach to Processing Concurrent Decision Support Queries, EDBT'2014. pp. 121-132.
  • Abhishek Mukherji, Elke Rundensteiner and Matthew Ward, COLARM: Cost-based Optimization for Localized Association Rule Mining, EDBT'2014. pp. 181-192.
  • Lei Cao, Di Yang, Qingyang Wang, Yanwei Yu, Jiayuan Wang and Elke Rundensteiner, Scalable Distance-Based Outlier Detection over High-Volume Data Streams, ICDE'2014. 76-87.
  • 2013:

  • Rimma Nehme, Karen Works, Chuan Lei, Elke Rundensteiner, and Elisa Bertino, Multi-Route Query Processing and Optimization, Journal of Computer and System Sciences (JCSS), Special Issue, Data Warehousing and Knowledge Discovery from Sensors and Streams Elsevier Publisher, 79(3): 312-329 (2013). Journal of Computer and System Sciences (JCSS), Special Issue, Data Warehousing and Knowledge Discovery from Sensors and Streams
  • Karen Works, Elke Rundensteiner, and Emmanuel Agu, Optimizing Adaptive Multi-Route Query Processing via Time-Partitioned Indices, Journal of Computer and System Sciences (JCSS), Special Issue, Data Warehousing and Knowledge Discovery from Sensors and Streams Elsevier Publisher, 79(3): 330-348 (2013).
  • Olga Poppe, Sandro Giessl, Elke Rundensteiner, and Francois Bry, The HIT Model: Workflow-aware Event Stream Monitoring, TLDKS Journal, Special Issue on Advanced Data Stream Management and Processing of Continuous Queries, 11: 26-50 (2013)
  • Lei Cao and Elke Rundensteiner, High Performance Stream Query Processing With Correlation-Aware Partitioning, The 40th International Conference on Very Large Data Bases (VLDB), PVLDB Volume 7, No. 4, December 2013.
  • M. Castellanos, U.Dayal, and Elke Rundensteiner, Report on Enabling Real-Time Business Intelligence, 6th International Workshop, ACM SIGMOD Records, Sept 2013.
  • Abhishek Mukherji, Xika Lin, Jason Whitehouse, Christopher Ryan Botaish, Elke Rundensteiner, and Matt Ward, FIRE: Interactive Visual Support for Parameter Space-Driven Rule Mining, CIKM 2013.
  • Abhishek Mukherji, Jason Whitehouse, Christopher Ryan Botaish, Elke Rundensteiner, and Matt Ward, SPHINX: A Parameter Space Explorer for Analyzing Evidence-Hypotheses Relationships, to appear in ACM CIKM 2013, demonstration.
  • Di Yang, Kaiyu Zhao, Hanyuan Lu, Maryam Hasan, Elke Rundensteiner and Matthew Ward, Mining and Linking Complex Patterns across Live Data Streams and Stream Archives, The 39th International Conference on Very Large Data Bases (VLDB), August 26th - 30th 2013, Riva del Garda, Trento, Italy.
  • Richard T. Ellison III, MD; Elke Rundensteiner, PhD; Di Wang, PhD; Constance Barysauskas, M.S.; Bruce Barton, PhD; A prospective controlled trial of an Electronic Hand Hygiene Reminder System, IDWeek Conference (ID Week 2013), Advancing Science Improving Care (IDSA), Abstract 314, October 2-6, 2013, San Francisco, CA.
  • Di Wang, Yeye He, Elke Rundensteiner, and J. F. Naughton, Utility-Maximizing Event Stream Suppression, ACM SIGMOD'2013.
  • Xika Lin, Abhishek Mukherji, Christopher R. Botaish, Jason Whitehouse, Elke Rundensteiner, Matt Ward, and Carolina Ruiz, PARAS: Interactive Parameter Space Exploration for Association Rule Mining, SIGMOD'2013. demonstration.
  • Medhabi Ray, Elke Rundensteiner, Mo Liu, Chetan Gupta, Song Wang and Ismail Ari, High Performance Complex Event Processing using Continuous Sliding Views, EDBT'2013.
  • Di Wang, Elke Rundensteiner, Han Wang and Richard Ellison, Probabilistic Inference of Object Identifications for Event Stream Analytics, EDBT'2013: 513-524.
  • Chuan Lei, Elke Rundensteiner, and Joshua Guttman, Robust Stream Query Processing, ICDE 2013.
  • Xika Lin, Abhishek Mukherji, Elke Rundensteiner, Carolina Ruiz, and Matt Ward, PARAS: A Parameter Space Framework for Online Association Mining, VLDB 2013. Vol 6, Issue 3, The 39th International Conference on Very Large Data Bases, August 26th - 30th 2013, Riva del Garda, Trento, Italy. 193-204.
  • Zaixian Xie, Matthew O. Ward, and Elke Rundensteiner, Exploring large scale time-series data using nested timelines, Visualization and Data Analysis (VDA 2013), Proc. of SPIE-IS\&T SPIE Symposium on Electronic Imaging (EI), Vol. 8654, Feb. 3-7, 2013, Burlingame, CA.
  • 2012:

  • M. Castellanos, U.Dayal, and Elke Rundensteiner (Eds.): BIRTE 2012, LNBIP 154, 2013. Springer-Verlag Berlin Heidelberg 2013. (Enabling Real-Time Business Intelligence, 6th International Workshop, BIRTE 2012, Held at the 38th International Conference on Very Large Databases, VLDB 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers).
  • Zhenyu Guo, Matthew O Ward, Elke Rundensteiner, and C. Ruiz, Evaluation of a Pointwise Local Visual Exploration Method, Tsinghua Science and Technology, Special Issue on Visualization and Computer Graphics, Vol. 17, No. 4, Aug 2012, pp. 1-16. (accepted: June 2012)
  • Di Yang, Elke A Rundensteiner, and Matthew O Ward, Mining Neighbor-Based Patterns In Data Streams, Information Systems Journal, 2012 (accepted with minor revision).
  • Di Wang, Lei Cao, Qingyang Wang, and Elke Rundensteiner, QoX Driven Framework for Sensor Event Stream Analytics, SIAM Data Mining (SDM) 2012, 1st International Workshop on Analytics for Cyber-Physical Systems (ACS-2012), 2012.
  • Mo Liu, Medhabi Ray, Dazhi Zhang, Elke Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, and Ismail Ari, Real-time healthcare services via nested complex event processing technology. EDBT 2012: 622-625 (Demonstration).
  • D. Yang, Elke Rundensteiner, and M. Ward. Summarization and Matching of Density-Based Clusters in Steaming Environments. PVLDB 5(2):121-132, 2012.
  • Di Yang, Elke Rundensteiner, Matthew O. Ward: Shared execution strategy for neighbor-based pattern mining requests over streaming windows. ACM Trans. Database Syst. (TODS), 37(1): 5 (2012).
  • 2011:

  • Zaixian Xie, Zhengyu Guo, Di Yang, M. Ward and Elke Rundensteiner, Quality-aware visual data analysis, Computational Statistics, 2011, (accepted Dec 2010).
  • Venkatesh Raghavan, Shweta Srivastava, and Elke Rundensteiner, Skyline and Mapping Aware Join Query Evaluation, Information Systems Journal, Elsevier Science Publisher, 36(6), 917-936 (2011).
  • Yang Di, Zhenyu Guo, Elke Rundensteiner, and Matthew Ward, CLUES: A Unified Framework Supporting Interactive Exploration of Density-Based Clusters in Streams, 20th ACM Conference on Information and Knowledge Management (CIKM 2011).
  • Avani Shastri, Di Yang, Elke Rundensteiner, and Matthew Ward, MTopS: Scalable Processing of Continuous Top-K Multi-Query Workloads, 20th ACM Conference on Information and Knowledge Management (CIKM 2011).
  • Di Wang, Elke Rundensteiner, and R. Ellison, Active Complex Event Processing, VLDB, Sept 2011.
  • Shweta Srivastava, Venkatesh Raghavan and Elke Rundensteiner, Adaptive Processing of Multi-Criteria Decision Support Queries, International Workshop of Business Intelligence for the Real-Time Enterprise (BIRTE'2011), VLDB workshop, Sept 2011.
  • Zhenyu Guo, Matt Ward, and Elke A. Rundensteiner, Pointwise Local Pattern Exploration for Sensitivity Analysis, VAST'2011, Oct 2011, Providence, MA.
  • Ming Li, Murali Mani, Elke Rundensteiner, and Tao Lin, Complex Event Pattern Detection over Streams with Interval-Based Temporal Semantics, The 5th ACM International Conference on Distributed Event-Based Systems (DEBS 2011), July 11 - 15, 2011, New York, USA.
  • Zhenyu Guo, Matt Ward, and Elke A. Rundensteiner, Nugget Browser: Visual Subgroup Mining and Statistical Significance Discovery in Multivariate Dataset, 15th International Conference Information Visualisation (IV2011), 2011.
  • Abhishek Mukherji, Elke Rundensteiner, and Matt Ward, Achieving High Freshness and Optimal Throughput in CPU-limited Execution of Multi-Join Continuous Queries, 28th British National Conference on Databases (BNCOD11), July 2011.
  • M. Liu, Elke Rundensteiner, K. Greenfield, C. Gupta (HP Labs), S. Wang (HP Labs), I. Ari (Ozyegin University, Turkey), and A Mehta, E (HP Labs), E-Cube: Multi-Dimensional Event Sequence Analysis Using Hierarchical Pattern Query Sharing ACM SIGMOD' 2011. Greece. pp. 889-900.
  • Di Wang, Elke Rundensteiner, H. Wang and D. Ellison, Active Complex Event Processing Infrastructure: Monitoring and Reacting to Event Streams, First International Workshop on Data Management and Analytics for Semi-Structured Business Processes (DMA4SP 2011), ICDE 2011 proceedings, Hannover, Germany, April 11, 2011.
  • Medhabi Ray, Mo Liu, Elke Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, and Abhay Mehta, Extracting Complex Sequence Patterns from Event Streams, First International Workshop on Data Management and Analytics for Semi-Structured Business Processes (DMA4SP 2011), ICDE 2011 proceedings, Hannover, Germany, April 11, 2011.
  • Di Yang, Avani Shastri, Elke Rundensteiner, and Matthew O. Ward, An Optimal Strategy for Monitoring Top-k Queries in Streaming Windows, EDBT 2011.
  • Karen Works and Elke Rundensteiner, The Proactive Promotion Engine, ICDE'2011, Demonstration paper.
  • Mo Liu, Elke Rundensteiner, Dan Dougherty, Chetan Gupta, Song Wang, Ismail Ari., Abhay Mehta, High-performance Nested CEP Query Processing over Event Streams, ICDE'2011,
  • Luping Ding, Karen Works, and Elke Rundensteiner, Semantic Stream Query Optimization Exploiting Dynamic Metadata, ICDE'2011.
  • 1985-2010:

  • Yali Zhu, Venkatesh Raghavan, and Elke Rundensteiner, A New Look At Generating Multi-Join Continuous Query Plans: A Qualified Plan Generation Problem, Data and Knowledge Engineering Journal, 69(5): 424-443 (2010)
  • Zaixian Xie, Matthew O. Ward, Elke Rundensteiner, Visual Exploration of Stream Pattern Changes Using a Data-driven Framework, 6th International Symposium on Visual Computing (ISVC10), 2010.
  • Mo Liu, Elke Rundensteiner, Dan Dougherty, Chetan Gupta, Song Wang and Abhay Mehta, Nested Complex Event Processing for Real-Time Event Analytics, International Workshop of Business Intelligence for the Real-Time Enterprise (BIRTE'2010), VLDB workshop, Sept 2010.
  • Mo Liu, Medhabi Ray, Elke Rundensteiner, Daniel J. Dougherty, Chetan Gupta, Song Wang, Ismail Ari, and Abhay Mehta, Processing Strategies for Nested Complex Sequence Pattern Queries over Event Streams, 7th International Workshop of Data Management for Sensor Networks (DMSN 2010), VLDB Workshop, Sept. 2010.
  • Di Wang, M. Mani, and Elke Rundensteiner, Cluster-and-Conquer: Hierarchical Multi-metric Query Processing in Large-scale Database Federations, IDEAS'2010.
  • Mingzhu Wei, Elke Rundensteiner and M. Mani, Achieving High Output Quality under Limited Resources through Structure-based Spilling in XML Streams, VLDB'2010.
  • Di Wang, Elke Rundensteiner, Han Wang, Worcester Polytechnic Institute and Richard T. Ellison III, Univ. Massachussets Medical School, Active Complex Event Processing: Applications in Real-Time Health Care, Demo Paper, VLDB 2010.
  • Nam Hun Park, Venky Raghavan and Elke Rundensteiner, Supporting Multi-Criteria Decision Support Queries Over Time-Interval Data Streams, DEXA'2010, Short paper, Bilbao, Spain.
  • Sean Guarino, Curt Wu, Joseph Campolongo, Elke Rundensteiner, Dynamic Application and Model Updating Service, The 2010 International Symposium on Collaborative Technologies and Systems (CTS 2010), Workshop On Semantic Technologies For Information-Integrated Collaboration (STIIC 2010), Chicago, Illinois, USA.
  • Di Yang, Zhengyu Guo, Zaixian Xie, Elke Rundensteiner and M. Ward, Interactive Visual Exploration of Neighbor-Based Patterns in Data Streams, Software Demonstration, ACM SIGMOD 2010, Indianapolis.
  • Venkatesh Raghavan and Elke Rundensteiner, ProgXe: Progresssive Result Generation Framework for Mult-Criteria Decision Support Queries, Software Demonstration, ACM SIGMOD 2010, Indianapolis.
  • Manasi Vartak, Venkatesh Raghavan, and Elke Rundensteiner, QRelX: Generating Meaning Queries that Provide Cardinality Assurance, Software Demonstration, ACM SIGMOD 2010, Indianapolis.
  • Karen Works, Elke Rundensteiner, and Emmanuel Agu, Index Tuning for Adaptive Multi-Route Data Stream Systems, 3rd Int. Workshop on Scalable Stream Processing Systems, SSPS 2010.
  • Ming Li, Murali Mani, Elke Rundensteiner, and Tao Lin, Constraint-Aware Complex Pattern Detection over Streams, DASFAA, 2010.
  • Zaixian Xie, Matthew Ward, and Elke Rundensteiner, Operator-centric design patterns for information visualization software, in Visualization and Data Analysis conference, 2010. IS\&T/SPIE Electronic Imaging meeting, 17-21 January, 2010 in San Jose, California, USA.
  • Gayatri Gadepalli, Elke Rundensteiner, David Brown and Kajal Claypool, Tag and Resource-aware Collaborative Filtering Algorithms for Resource Recommendation, ITNG'2010 Conference, IEEE Computer Society/CPS Pub..
  • E-Cube: Multi-Dimensional Event Sequence Processing Using Concept and Pattern Hierarchies, Mo Liu, Elke Rundensteiner, K. B. Greenfield, C. Gupta, S. Wang, I. Ari, And A. Mehta, Demonstration, ICDE 2010.
  • Zaixian Xie, Matthew O. Ward, Elke Rundensteiner, Visual Exploration of Stream Pattern Changes Using a Data-Driven Framework, Proc. of 6th International Symposium on Visual Computing, pp 522-532, Nov.29 - Dec. 1, 2010 (Lecture Notes in Computer Science 6454).
  • M. Vartak (with V. Raghavan, Elke Rundensteiner) Recommendation-based Query Relaxation via Mapping Functions and Space Partitioning, ACM SIGMOD Undergraduate Poster, June 2009. (Winner of Poster Competition).
  • V. Raghavan, S. Srivastava, Elke Rundensteiner, Progressive Result Generation for Multi-Criteria Decision Support Queries, ICDE 2010.
  • Zhenyu Guo, M. Ward, and Elke Rundensteiner, Model Space Visualization for Multivariate Linear Trend Discovery, IEEE Symposium on Visual Analytics Science and Technology 2009, VAST'2009, pp. 75-82.
  • Rimma Nehme, Elisa Bertino, Elke Rundensteiner, Tagging Stream Data for Rich Real-Time Services, VLDB, 2009.
  • Di Yang, Elke Rundensteiner, and M. O. Ward, A Shared Execution Strategy for Multiple Pattern Mining Requests over Streaming Data, VLDB, 2009.
  • Rimma Nehme, Karen Works, Elisa Bertino, Elke Rundensteiner, Query Mesh: Multi-Route Query Processing Technology, VLDB Demonstration, 2009.
  • Mingzhu Wei (with Elke Rundensteiner), Achieving High Output Utility under Limited Resources through Structure-based Shedding and Spilling in XML Streams, 2009 SIGMOD PhD Workshop on Innovative Database Research (IDAR).
  • Venkatesh Raghavan (with Elke Rundensteiner), SkyDB: Skyline Aware Query Evaluation Framework, 2009 SIGMOD PhD Workshop on Innovative Database Research (IDAR).
  • Z. Xie, M. O. Ward, and Elke Rundensteiner. Exploring multivariate data streams using windowing and sampling strategies. Interacting with temporal data workshop, CHI 2009.
  • Mingrui Wei and Elke Rundensteiner, Mode-Aware Stream Query Processing, SSDBM'2009.
  • Venkatesh Raghavan, Yali Zhu, Elke Rundensteiner, and Daniel Dougherty, `Multi-Join Continuous Query Optimization: Covering the Spectrum of Linear, Acyclic and Cyclic Queries' 26th British National Conference on Databases (BNCOD09), 2009.
  • Rimma V. Nehme, Hyo-Sang Lim, Elisa Bertino, and Elke Rundensteiner, StreamShield: A Stream-Centric Approach Towards Security and Privacy in Data Stream Environments, Demonstration Paper, 2009 ACM SIGMOD International Conference on Management of Data, June, Providence, Rhode Island, 2009.
  • Mingzhu Wei, Mo Liu, Ming Li, Denis Golovnya, Elke Rundensteiner, and Kajal Claypool, Supporting a Spectrum of Out-of-Order Event Processing Technologies: From Aggressive to Conservative Methodologies, Demonstration Paper, 2009 ACM SIGMOD International Conference on Management of Data, June, Providence, Rhode Island, 2009.
  • Claypool, Kajal, Mineweaser, Jeremy, Van Hook, Daniel, Rundensteiner, Elke, Scarito, Michael, ESPACE: Web-scale Integration One Step At A Time, ICEIS 2009.
  • Yang, Di, Rundensteiner, E.A., and Ward, M., Neighbor-Based Pattern Detection for Windows Over Streaming Data, EDBT'2009
  • Nehme, R., Rundensteiner, E.A. and Bertino, E., Self-Tuning Query Mesh for Adaptive Multi-Route Query Processing, EDBT'2009
  • Wang, S. and Rundensteiner, E.A., Scalable Stream Join Processing with Expensive Predicates: Workload Distribution and Adaptation by Time-Slicing, EDBT'2009.
  • Mo Liu, Ming Li, Denis Goyala, Kajal Claypool, Elke Rundensteiner, Sequence Pattern Query Processing over Out-of-Order Event Streams, International Conference on Data Engineering, March 29-April 4, 2009, Shanghai, China.
  • Mingzhu Wei, Elke Rundensteiner, Murali Mani, and Ming Li: Processing Recursive XQuery over XML Streams: The Raindrop Approach. Data and Knowledge Engineering Journal, Selected Papers of XSYM'06, XSYM Special Issue, 65(2): 243-265 (2008).
  • Ming Li, Elke Rundensteiner, and Murali Mani, ELF: A Constraint-Aware XQuery Engine for Processing XML Streams with Minimized Memory Footprint, DEXA Workshop, 2008.
  • Abhishek Mukherji, Elke Rundensteiner, David Brown, Venkatesh Raghavan, SNIF TOOL: Sniffing for Patterns in Continuous Streams, CIKM'2008, Cal, USA, 2008.
  • Ming Li, Elke Rundensteiner, and Murali Mani, ELF: A Constraint-Aware XQuery Engine for Processing XML Streams with Minimized Memory Footprint, IEEE International Conference on Semantic Computing 2008 (ICSC), Santa Clara, CA, USA -- August 4-7, 2008, pp. 494-495.
  • Aparna Varde, Stephen Bique, Elke Rundensteiner, David Brown, Jianyu Liang, Richard Sisson Jr., Ehsan Sheybani and Brian Sayre --- Component Selection to Optimize Distance Function Learning in Complex Scientific Data Sets, DEXA 2008, Turin, Italy, September 1 to 5, 2008.
  • Aparna Varde, Shuhui Ma, Mohammed Maniruzzaman, David Brown, Elke Rundensteiner and Richard Sisson Jr., Comparing Mathematical and Heuristic Approaches for Scientific Data Analysis, In the Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM-08), Cambridge University Press, 2008, Volume 22, pp. 53 - 69.
  • Ling Wang, Ming Jiang, Elke Rundensteiner, Murali Mani: An Optimized Two-Step Solution for Updating XML Views. DASFAA 2008: 19-34.
  • Luping Ding, Songting Chen (NEC), Elke Rundensteiner, Junichi Tatemura (NEC), Wang-Pin Hsiung (NEC), K. Selcuk Candan (NEC),Runtime Semantic Query Optimization for Event Stream Processing, ICDE 2008, Apr. 2008, Cancun, Mexico.
  • Rimma Nehme (Purdue), Elke Rundensteiner, Elisa Bertino (Purdue), A Security Punctuation Framework for Enforcing Access Control on Streaming Data, ICDE 2008, Apr. 2008, Cancun, Mexico.
  • Mingzhu Wei, Elke Rundensteiner, and Murali Mani, Utility-driven Load Shedding for XML Stream Processing, WWW'2008. China, 2008, 855-864.
  • Luping Ding and Elke Rundensteiner, Index Tuning for Parameterized Streaming Groupby Queries, The Second International Workshop on Scalable Stream Processing Systems (SSPS'08), March 29, 2008, Nantes, France, 68-78.
  • Hong Su, Elke Rundensteiner, and Murali Mani, Automaton In or Out: Run-time Plan Optimization for XML Stream Processing, The Second International Workshop on Scalable Stream Processing Systems (SSPS'08), March 2008, Nantes, France, 38-47.
  • Semantic Query Optimization for Processing XML Streams with Minimized Memory Footprint, Ming Li, M. Mani and Elke Rundensteiner, DataX'08, EDBT Workshop, April 2008.
  • D. Yang, Z. Xie, Elke Rundensteiner and M. O. Ward, Managing Discoveries in The Visual Analytics Process, ACM SIGKDD Journal, Special issue on Visual Analytics, ACM Press, 9(2), 22-29 (2007).
  • Aparna Varde, Shuhui Ma, Mohammed Maniruzzaman, David Brown, Elke Rundensteiner and Richard Sisson Jr., Comparing Mathematical and Heuristic Approaches for Scientific Data Analysis, Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM-07), Cambridge University Press, 2007.
  • Charudatta Wad, Elke Rundensteiner, and Matthew O. Ward, QoS: Quality-driven data abstraction generation for large databases, 5th Int. Workshop on Quality in Databases (QDB'07), VLDB 2007 Workshop, Sep. 2007, Vienna, Austria.
  • Di Yang, Elke Rundensteiner, and Matthew Ward, Nugget Discovery in Visual Exploration Environments by Query Consolidation, CIKM 2007.
  • Di Yang, Elke Rundensteiner, and Matthew Ward, Analysis Guided Visual Exploration of Multivariate Data, IEEE VAST 2007.
  • Zaixian Xie, Matthew Ward, Elke Rundensteiner, Coordinated and Multiple Views in Exploratory Visualization (CMV 2007), http://www.cs.kent.ac.uk/events/cmv2007/index.php
  • Song Wang, Ling Wang, and Elke Rundensteiner, Isolating Order Semantics in Order-Sensitive XQuery-to-SQL Translation, BNCOD, 3rd - 5th July, 2007 Glasgow, Scotland.
  • Ming Li, Mo Liu, Elke Rundensteiner, and M. Mani, Event Stream Processing with Out-of-Order Data Arrival, First Int. Workshop on Distributed Event Processing (DEPSA'07), ICDCS'07 Workshop. 2007.
  • Elke Rundensteiner, Matthew Ward, Zaixian Xie, Qingguang Cui, Charudatta Wad, Di Yang, and Shiping Huang, XmdvTool$^Q$: Quality Aware Interactive Data Exploration, ACM SIGMOD, Demonstration Paper, May 2007. Beijing, China.
  • Aparna Varde, Elke Rundensteiner and Richard Sisson Jr. AutoDomainMine: A Graphical Data Mining System for Process Optimization, ACM SIGMOD, Demonstration Paper, May 2007. Beijing, China.
  • Ming Jiang, Ling Wang, Murali Mani and Elke Rundensteiner, Updating Views Over Recursive XML, ICDT XML workshop, EROW'2007, Jan 2007.
  • Aparna Varde, Elke Rundensteiner, Giti Javidi, Ehsan Sheybani and Jianyu Liang, Learning the Relative Importance of Features in Image Data, The First International Workshop on Ranking in Databases (DBRank'07), April 16, 2007, Istanbul, Turkey, Workshop Co-located with ICDE, pp. 237 - 244.
  • Y. Zhu and and Elke Rundensteiner, Adapting Partitioned Continous Query Processing in Distributed Systems, International Workshop on Scalable Stream Processing Systems, SSPS07, April 16, 2007, Istanbul, Turkey, Workshop Co-located with ICDE.
  • Bin Liu, Mariana Jbantova, and Elke Rundensteiner, Optimizing State-Intensive Non-Bocking Queries Using Run-time Adaptation, International Workshop on Scalable Stream Processing Systems, SSPS07, April 16, 2007, Istanbul, Turkey, Workshop Co-located with ICDE.
  • Rimma V. Nehme and Elke Rundensteiner, ClusterSheddy: Load Shedding Using Moving Clusters over Spatio-Temporal Data Streams, DASFAA 2007 Conference, 2007. Springer Verlag, LNCS 4443-0637.
  • J. Yang, D. Hubball, M. Ward, Elke Rundensteiner, W. Ribarsky: Value and Relation Display: Interactive Visual Exploration of Large Data Sets with Hundreds of Dimensions. {\bf IEEE Trans. Vis. Comput. Graph. 13(3): 494-507 (2007)
  • Aparna S. Varde, Elke Rundensteiner, Carolina Ruiz, Mohammmed Maniruzzaman, and Richard D. Sisson Jr, LearnMet: Learning Domain-Specific Distance Metrics for Plots of Scientific Functions, International Journal on Multimedia Tools and Applications (MTAP). Special issue on Multimedia Data Mining 2005, Springer Verlag, 2007.
  • Venkatesh Raghavan, Elke Rundensteiner, John Woycheese, Abhishek Mukherji, FireStream: Sensor Stream Processing for Monitoring Fire Spread, ICDE Demo, 2007.
  • Aparna S. Varde, Jianyu Liang, Elke Rundensteiner, and Richard D. Sisson Jr, Mining Images of Material Nanostructure Data, Int. Conf. DCIT, (ICDCIT-06), Invited Paper, Bhubhaneswar, India, December 2006, pp 403 - 413.
  • Qingguang Cui, Matthew O. Ward, Elke Rundensteiner, and Jing Yang, Measuring Data Abstraction Quality in Multiresolution Visualizations, IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5, Sept/Oct 2006.
  • Kajal T. Claypool, Elke Rundensteiner, and Chandrakant Natarajan, CHOP: Performance Optimization for Batched Schema Evolution, KAIS Journal, 2006. accepted.
  • Song Wang, Elke Rundensteiner, and Murali Mani, Optimization of Nested XQuery Expressions with Orderby Clauses Data and Knowledge Engineering Journal, Special Issue or XSYM, 2006.
  • Bin Liu, Elke Rundensteiner, and David Finkel, Restructuring View Maintenance Plans For Large Update Batches, Information Systems Journal, Elsevier Science Publisher, Feb 2006.
  • Hong Su, Elke Rundensteiner and M. Mani, Automaton Meets Algebra: A Hybrid Paradigm for XML Stream Processing, Data and Knowledge Engineering Journal (DKE), Guest Editors: Il-Yeol Song, Stephen Liddle, and Tok Wang Ling, Special Issue, In Press, 2006.
  • Songting Chen, Xin Zhang, and Elke Rundensteiner, A Compensation-based Approach for Materialized View Maintenance in Distributed Environments, IEEE Transactions on Data and Knowledge Engineering, accepted 2006.
  • Bin Liu and Elke Rundensteiner, Optimizing Cyclic Join View Maintenance over Distributed Data Sources IEEE Transactions on Data and Knowledge Engineering, 18(2): 363-376 (2006).
  • Andreas Koeller and Elke Rundensteiner, `Heuristic Strategies for the Discovery of Inclusion Dependency and Other Patterns Journal of Data Semantics (JoDS) (Special issue of OTM'05), Springer Verlag, IND-heuristics 2006: 185-210.
  • Z. Xie, C. Wad, D. Q. Nguyen, Q. Cui, D. Yang, M. O. Ward, and Elke Rundensteiner, Visual Discovery of Patterns in Census Data, IEEE Symposium on Information Visualization Contest, October 2006.
  • Ling Wang, Elke Rundensteiner, Murali Mani, and Ming Jiang, HUX: A Schema-centric Approach for Updating XML Views, ACM CIKM 2006, Poster Paper, November 2006, Washington, DC.
  • Aparna S. Varde, Elke Rundensteiner, Carolina Ruiz, David Brown, Mohammmed Maniruzzaman, and Richard D. Sisson Jr, Designing Semantics-Preserving Cluster Representatives for Scientific Input Conditions, In Proc. of ACM CIKM 2006, Arlington, Virginia, November 2006, pp 708 - 717.
  • Qingguang (Guang) Cui, Matthew O. Ward, and Elke Rundensteiner, Measuring Data Abstraction Quality in Multiresolution Visualization InfoVis 2006, October 29-31 in Baltimore, Maryland, USA.
  • Zaixian Xie, Shiping Huang, Matt Ward, and Elke Rundensteiner, Exploratory Visualization of Multivariate Data with Variable Quality, IEEE VAST 2006, October 31 - Nov 2, Baltimore, Maryland, USA.
  • Song Wang, Elke Rundensteiner, Samrat Ganguly, and Sudeept Bhatnagar, State-Slice: New Paradigm of Multi-query Optimization of Window-based Stream Queries, Full Paper, International Conference on Very Large Databases, VLDB, August 2006. 619-630.
  • Ling Wang, Ming Jiang, Elke Rundensteiner and Murali Mani, HUX: Handling Updates in XML, International Conference on Very Large Databases, Demonstration paper, August 2006.
  • Song Wang, Hong Su, Ming Li, Mingzhu Wei, Shoushen Yang, Drew Ditto, Elke Rundensteiner and Murali Mani, R-SOX: Runtime Semantic Query Optimization over XML Streams, International Conference on Very Large Databases, Demonstration paper, August 2006.
  • Aparna S. Varde, Elke Rundensteiner, Carolina Ruiz, David Brown, Mohammmed Maniruzzaman, and Richard D. Sisson Jr, Effectiveness of Domain-Specific Cluster Representatives for Graphical Plots, 3rd International ACM SIGMOD Workshop, Information Quality in Information Systems (IQIS 2006), Chicago, US, on June 30th.
  • Aparna Varde, Elke A Rundensteiner, Carolina Ruiz, David C. Brown, MD Maniruzzaman, and Richard D Sisson; Integrating Clustering and Classification for Estimating Process Variables in Materials Science, Twenty-First National Conference on Artificial Intelligence (AAAI-06), AAAI Extended Abstracts, Posters Track, July 16 - 20, 2006, Boston, Massachusetts.
  • Bin Liu, Yali Zhu and Elke Rundensteiner, Run-Time Operator State Spilling for Memory Intensive Long-Running Queries, ACM SIGMOD, May 2006. 347-358.
  • Rimma V. Nehme and Elke Rundensteiner, SCUBA: Scalable Cluster-Based Algorithm for Evaluating Continuous Spatio-Temporal Queries on Moving Objects, 10th International Conference on Extending Database Technology, EDBT 2006: 1001-1019 Munich, Germany, March 26th - 30th, 2006.
  • Mingzhu Wei, Ming Li, Elke Rundensteiner, Murali Mani: Processing Recursive XQuery over XML Streams: The Raindrop Approach. ICDE Workshops 2006: 85
  • Kajal T. Claypool and Elke Rundensteiner, Sync your Data: Update Propagation for Heterogeneous Protein Databases, VLDB Journal, The International Journal on Very Large Data Bases, Special Issue on Biological Databases, Volume 14, Number 3, Springer Verlag, Sept. 2005. (www.springerlink.com web site at http://www.springerlink.com)
  • M. El-Sayed, K. Dimitrova, E. A. Rundersteiner, Efficiently Supporting Order in XML Query Processing, Special Issue on Web Information and Data Management (WIDM 2003), Data and Knowledge Engineering Journal, 54(3), Sept. 2005.
  • Andreas Koeller and Elke Rundensteiner, A History-Driven Approach at Evolving Views under Meta-Data Changes, An International Journal on Knowledge and Information Systems (Knowl. Inf. Syst.- KAIS), Springer Verlag, 8(1): 34-67 (2005)
  • L. Wang, Elke Rundensteiner, and M. Mani, On the Updatability of XML Views Published over Relational Data, Data and Knowledge Engineering Journal (DKE), 2005, Special Issue of ER'2004.
  • Songting Chen, Bin Liu and Elke Rundensteiner, Multiversion Based View Maintenance Over Distributed Data Sources, ACM Trans. Database Syst. 29(4): 675-709 (2004).
  • Aparna Verde, Elke Rundensteiner, M. Takahashi, M. Ward, M. Manruzzaman and R. Sisson Jr, Apriori Analysis and Game of Life for Predictive Analysis in Materials Science, Int. Journal of Knowledge-Based Intelligent Engineering Systems, (KES), IOS press, Netherlands, May 2004, accepted for publication.
  • Geraldine Rosario, Elke Rundensteiner, David Brown, Matt Ward, and Shiping Huang, Mapping Nominal Values to Numbers for Effective Visualization, Special Issue, Information Visualization Journal (IVJ), Palgrave Pub., volume 3(2), June 2004.
  • Xin Zhang, Lingli Ding, and Elke Rundensteiner, Parallel Multi-source View Maintenance, The VLDB Journal, 13(1): 22-48 (2004)
  • Andreas Koeller and Elke Rundensteiner, Incremental Maintenance of Schema-Restructuring Views in SchemaSQL, IEEE Trans. Knowl. Data Eng. 16(9): 1096-1111 (2004).
  • Li Chen, Song Wang, and Elke Rundensteiner, Replacement strategies for XQuery caching systems. Data and Knowledge Engineering Journal. 49(2): 145-175 (2004)
  • Huang, Shiping and Ward, Matthew O and Rundensteiner, Elke A, Exploration of dimensionality reduction for text visualization, Third International on Coordinated and Multiple Views in Exploratory Visualization, 2005.(CMV 2005). pp. 63--74, IEEE.
  • A. Varde, Elke Rundensteiner, M. Maniruzzaman and R. D. Sisson Jr. Estimating Heat Transfer Coefficients as a Function of Temperature by Data Mining, American Society of Materials (ASM) International, HTS'05, 2005.
  • L. Wang, Elke Rundensteiner, and M. Mani, U-Filter: A Lightweight XML View Update Checker, ICDE'06, poster paper, Atlanta, April 2006. pp. 126
  • Maged El-Sayed, Elke Rundensteiner, and Murali Mani, Incremental Maintenance of Materialized XQuery Views, ICDE'06, poster paper, Atlanta, April 2006. pp. 129.
  • Qingguang Cui, Matt Ward and Elke Rundensteiner, Enhancing scatterplot matrices for data with ordering or spatial attributes, Visualization and Data Analysis, Part of IS\&T/SPIE Symposium on Electronic Imaging, San Jose, California, USA, 15-19 Jan. 2006.
  • Tim Sutherland, Bin Liu, Mariana Jbantova, and Elke Rundensteiner, D-CAPE: Distributed and Self-Tuned Continuous Query Processing, CIKM, poster paper, Bremen, Germany, 2005.
  • Aparna S. Varde, Elke Rundensteiner, Carolina Ruiz, Mohammed Maniruzzaman, and Richard D. Sisson Jr., Learning Semantics-Preserving Distance Metrics for Clustering Graphical Data MDM/KDD 2005 Workshop, part of The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2005).
  • Ling Wang, Elke Rundensteiner and Murali Mani, Updating XML Views, International Conference on Very Large Databases, Ph.D. Workshop, Trondheim, Norway, 28-29 August 2005.
  • Bin Liu, Yali Zhu, Mariana Jbantova, and Elke Rundensteiner, Adaptive Distributed System for Processing Complex Continuous Queries, International Conference on Very Large Databases, Software Demonstration, Trondheim, Aug 30 - Sep 2, 2005.
  • Hong Su, Elke Rundensteiner and M. Mani, Semantic Query Optimization for XQuery Streams for XML, International Conference on Very Large Databases, Trondheim, Aug 30 - Sep 2, 2005.
  • Bin Liu and Elke Rundensteiner, Revisiting Pipelined Parallelism in Multi-Join Query Processing, International Conference on Very Large Databases, Trondheim, Aug 30 - Sep 2, 2005, VLDB 2005: 829-840
  • Nishant Mehta, Elke Rundensteiner and M. Ward, A Hierarchy Navigation Framework: Supporting Scalable Interactive Exploration over Large Databases, IDEAS'05.
  • Tim Sutherland, Brad Pielech, Yali Zhu, Luping Ding, Elke A Rundensteiner An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing, IDEAS'05.
  • Maged El Sayed, Elke Rundensteiner, M. Mani Incremental Fusion of XML Fragments through Semantic Identifiers, IDEAS'05.
  • Ling Wang, Song Wang, Brian Murphy, Elke Rundensteiner Order-sensitive XQuery-to-SQL translation, IDEAS'05.
  • L. Chen and Elke Rundensteiner, XQuery Containment in the Presence of Variable Binding Dependencies, World Wide Web Conference (WWW'05), 2005, May 10-14, Chiba, Japan.
  • Aparna Varde, Elke Rundensteiner, Carolina Ruiz, Mohammed Maniruzzaman and Richard Sisson Jr., Data mining over graphical results of experiments with domain semantics, ACM SIGART's 2nd International Conference of Intelligent Computing and Information Sciences (ICICIS-2005), Cairo, Egypt, 2005.
  • S. Wang, Elke Rundensteiner, and M. Mani, Optimization of Nested XQuery Expressions with Orderby Clauses, XSDM'05, 2005.
  • Venkatesh Raghavan, Kurt Deschler, and Elke Rundensteiner, VAMANA : A Scalable Cost-Driven XPath Engine, XSDM'05, 2005.
  • Songting Chen and Elke Rundensteiner, GPIVOT: Efficient Incremental Maintenance of Complex ROLAP Views. ICDE'05: 552-563.
  • Bin Liu and Elke Rundensteiner, Cost-Driven General Join View Maintenance over Distributed Data Sources. ICDE 2005: 578-579
  • A. Varde, Elke Rundensteiner, M. Mani, M. Maniruzzaman and R.Sisson Jr. Semantic Extensions To Domain Specific Markup Languages, Proceedings of IEEE'S CCCT-04 Austin, Texas, Aug. 2004.
  • A. Varde, Elke Rundensteiner, M. Mani, M. Maniruzzaman and R.Sisson Jr. Augmenting MATML with heat treating semantics, Web-Based Materials Property Development Symposium, NIST and ASM International, Columbus, Ohio, October 2004,
  • Maged El Sayed, Carolina Ruiz and Elke Rundensteiner, FS-Miner: Efficient and Incremental Mining of Frequent Sequence Patterns in Web Logs, WIDM'04, Nov. 2004.
  • Luping Ding and Elke Rundensteiner, Evaluating Window Joins over Punctuated Streams, CIKM'04, Nov. 2004.
  • Bin Liu and Elke Rundensteiner, Restructuring Batch View Maintenance Efficiently, CIKM 2004: 228-229
  • Andreas Koeller and Elke Rundensteiner, Heuristic Discovery of Inclusion Dependency Discovery, On the Move to Meaningful Internet Systems 2004, Springer, Lecture Notes in Computer Science. Vol. 3291. Cyprus, Oct. 25-29, 2004. pp. 891.
  • W. Peng, Matt Ward and Elke Rundensteiner, Clutter Reduction in Multi-Dimensional Data Visualization Using Dimension ReOrdering, InfoVis 2004, October, 10-12 in Austin, Texas, USA.
  • Jing Yang, N. Mehta, W. Peng, Matt Ward and Elke Rundensteiner, Value and Relation Display for Interactive Exploration of High Dimension InfoVis 2004, October, 10-12 in Austin, Texas, USA.
  • Elke Rundensteiner, Luping Ding, Timothy Sutherland, Yali Zhu, Brad Pielech and Nishant Mehta. CAPE: Continuous Query Engine with Heterogeneous-Grained Adaptivity. Demonstration Paper. VLDB 2004.
  • Hong Su, Elke Rundensteiner and Murali Mani, Raindrop: An XQuery Engine over XML Streams - on Semantic Query Optimization, Demonstration Paper. VLDB 2004.
  • Kajal T. Claypool, Elke Rundensteiner, AUP: Adaptive Change Propagation Across Data Model Boundaries, BNCOD 2004: 72-83.
  • Yali Zhu, Elke Rundensteiner, and George Heineman, Dynamic Plan Migration for Continuous Queries Over Data Streams ACM SIGMOD 2004.
  • Luping Ding, Nishant Mehta, Elke Rundensteiner and George T. Heineman, Joining Punctuated Streams, EDBT'04, Int. Conf. on Extending Data Base Technology (EDBT), March 2004, Heraklion - Crete, Greece, pp. 587-604.
  • Songting Chen, Jun Chen, Xin Zhang, Elke Rundensteiner: Detection and Correction of Conflicting Source Updates for View Maintenance. ICDE 2004: 436-448
  • L. Wang and Elke Rundensteiner. On the Updatability of XML Views Published over Relational Data, ER 2004: 23rd International Conference on Conceptual Modeling, Shanghai, China, Nov. 8-12, 2004. Proceedings (Editors: Paolo Atzeni, Wesley Chu, Hongjun Lu, et al.) published as Lecture Notes in Computer Science Publisher: Springer-Verlag Heidelberg, Vol. 3288 / 2004, p. 795 -, January 2004.
  • Aparna Varde, .., Elke Rundensteiner, QuenchMiner: Decision Support for Optimization of Heat Treating Processes, IICAI-03 (1st indian international conference on artificial antelligence), IEEE, Dec 2003, Hyderabad, India.
  • Jing Yang, Matt Ward, Elke Rundensteiner, and Anil Pedro, InterRing: An Interactive Tool for Visually Navigating and Manipulating Hierarchical Structures, Journal of Information Visualization, (IVS) Palgrave Publisher, IVS volume 2, issue 1, Special Issue, March 2003.
  • Maged El-Sayed, Katica Dimitrova, Elke Rundensteiner, Efficiently Supporting Order in XML Query Processing, WIDM'03.
  • Hong Su, Jinhui Jian, and Elke Rundensteiner, RAINDROP: A Uniform and Layered Algebraic Framework for XQueries on XML Streams, CIKM'03, New Orleans, Nov. 2003.
  • Kurt Deschler and Elke Rundensteiner, MASS: A Multi-Axis Storage Structure for Large XML Documents, CIKM'03, New Orleans, Nov. 2003.
  • L. Wang, M. Mulchandani and Elke Rundensteiner. Updating XQuery View Published over Relational Data: A Round-Trip Case Study. XML Database Symposium, (VLDB Workshop), Sept. 2003, Berlin.
  • Interactive Hierarchical Dimension Ordering, Spacing, and Filtering for Exploration of High Dimensional Datasets, Jin Yang, Wei Peng, Matthew O. Ward, and Elke Rundensteiner, InfoVis'2003, October 19-21 in Seattle, Washington, USA.
  • Mapping Nominal Values to Numbers for Effective Visualization Geraldine E. Rosario, Elke Rundensteiner, David C. Brown, and Matthew O. Ward InfoVis'2003, October 19-21 in Seattle, Washington, USA. pages 113-120.
  • FS-Miner: An Efficient and Incremental System to Mine Contiguous Frequent Sequences, Maged EL-Sayed, Elke Rundensteiner, and Carolina Ruiz WPI-CS-TR-03-20
  • Jinhui Jian, Hong Su, and Elke Rundensteiner; Automaton Meets Query Algebra: Towards A Unified Model for XQuery Evaluation over XML Data Streams; ER2003 Conference. (Nominated to be among best papers at ER 2003.).
  • Katica Dimitrova, Maged-El Sayed, and Elke Rundensteiner, Order-sensitive View Maintenance of Materialized XQuery Views, ER2003 Conference.
  • Luping Ding, Elke Rundensteiner, and George T. Heineman; MJoin: A Metadata-Aware Stream Join Operator, SIGMOD WORKSHOP on DEBS, 2003.
  • Xin Zhang and Katica Dimitrova and Ling Wang and Maged El-Sayed and Brian Murphy and Bradford Pielech and Mukesh Mulchandani and Luping Ding and Elke Rundensteiner RainbowII: Multi-XQuery Optimization Using Materialized XML Views, SIGMOD'03, Software system demonstration paper, San Diego, June 2003.
  • Punit Doshi, Geraldine Rosario, Elke Rundensteiner, and Matthew Ward, A Strategy Selection Framework for Adaptive Prefetching in Visual Exploration Conference on Scientific and Statistical Database Management, (SSDBM2003), July 9-11 2003 Cambridge, MA.
  • Jing Yang, Matthew O. Ward, Elke Rundensteiner and Shiping Huang, Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Datasets, Sym on Vis, 2003.
  • Kajal T. Claypool and Elke Rundensteiner, Sangam: A Framework for Modeling Heterogeneous Database Transformations, ICEIS-2003, Angers/France, April 23-26, 2003.
  • Kajal T. Claypool and Elke Rundensteiner, A Transformation Modeling Framework, DASFAA'03, Kyoto, Japan, 2003.
  • Punit R. Doshi, Elke Rundensteiner, and Matthew O. Ward, Prefetching for Visual Data Exploration, Eighth International Conference on Database Systems for Advanced Applications (DASFAA 2003), DASFAA'03, Kyoto, Japan, March 26-28, 2003.
  • Matthew Ward, Elke Rundensteiner, Jing Yang, Punit Doshi and Geraldine Rosario. XmdvTool: Interactive Visual Data Exploration System For High-dimensional Data Sets, Information Visualization, 2002, Boston, Interactive Poster.
  • Amy J. Lee, Anisoara Nica, and Elke Rundensteiner, The EVE Approach: View Synchronization In Dynamic Distributed Environments, IEEE Transaction on Data and Knowledge Engineering, vol. 14, no. 5, Sept/Oct. 2002.
  • Chen, L, Choubey, R., and Elke Rundensteiner, Merging R-Trees: Efficient Strategies for Local Bulk Insertion, {\bf GeoInformatica, 6(1): 7-34 (2002)
  • Xin, Z. and Elke Rundensteiner, `Integrating the Maintenance and Synchronization of Data Warehouses Using a Cooperative Framework, Information Systems, 27 (4): 219 - 243 (2002).
  • Jing Yang, Matthew O. Ward, and Elke Rundensteiner, `Interactive Hierarchical Displays: A General Framework for Visualization and Exploration of Large Multivariate Data Sets, Computers and Graphics journal, 2002.
  • Hong Su, Bintou Kane, Victor Chen, Cuong Diep, De Ming Guan, Jennifer Look and Elke. A. Rundensteiner, A Lightweight Constraint Check Framework for Consistently Updating XML Documents, Second International Workshop on Evolution and Change in Data Management (ECDM 2002), Springer Verlag, Tampere, Finland, vol. 2784, Lecture Notes in Computer Science Series, 2002.
  • Bintou Kane, Hong Su, and Elke Rundensteiner, Consistently Updating XML Documents using Incremental Constraint Check Queries, Workshop on Web Information and Data Management (WIDM'02), Nov. 2002.
  • Xin Zhang, Bradford Pielech, and Elke A. Rundensteier, Honey, I Shrunk the XQuery! --- An XML Algebra Optimization Approach, Workshop on Web Information and Data Management (WIDM'02), Nov. 2002.
  • Maged EL-Sayed, Ling Wang, Luping Ding, and Elke Rundensteiner An Algebraic Approach for Incremental Maintenance of Materialized XQuery Views, Workshop on Web Information and Data Management (WIDM'02), Nov. 2002.
  • Chen, L., Wang, S., Cash E., Ryder B., Hobbs I., and Rundensteiner, E.A. A Fine-Grained Replacement Strategy for XML Query Cache, Workshop on Web Information and Data Management (WIDM'02), Nov. 2002.
  • Bin Liu, Songting Chen and Elke Rundensteiner, Batch Data Warehouse Maintenance in Dynamic Environments, CIKM'02, pp. 68-75.
  • Yang, J. Ward, M. O. and Rundensteiner, E.A., S. Huang., Visual Hierarchical Dimension Reduction for Exploration of High Dimensional Data Sets, Joint Eurographics, IEEE TVCG Symposium on Visualization, 2003.
  • Andreas Koeller and Elke Rundensteiner, Discovery of High-Dimensional Inclusion Dependencies, Int. Conf. on Data Engineering, March 26--30, 2003, India.
  • Yang, J. Ward, M. O. and Rundensteiner, E.A., An Interactive Tool for Visually Navigating and Manipulating Hierarchical Structures, IEEE Symposium on Information Visualization (InfoVis), October 28-29, 2002, pages 77-84.
  • Chen, Jun, Chen, Songting and Elke Rundensteiner A Transactional Model for Data Warehouse Maintenance, Proceedings of ER' 2002, Tampere, Finland, Sept. 2002,
  • Chen, L. and Rundensteiner, E.A. ACE-XQ: A CachE-aware XQuery Answering System, ACM WEBDB'02, Madison, Wisconsin, June 2002.
  • Aparna S. Varde, Elke Rundensteiner MEDWRAP: Consistent View Maintenance over Distributed Multi-Relation Sources, DEXA' 2002.
  • Bin Liu, Songting Chen and Elke Rundensteiner A Transactional Approach for Parallel Data Warehouse Maintenance. In Proceedings of DaWaK' 2002, Aix-en-Provence, France, Sept, 2002, 307~317.
  • Rundensteiner, Ward, Yang, and Doshi XmdvTool: Visual Interactive Data Exploration and Trend Discovery of High-dimensional Data Sets, SIGMOD'02, Software system demonstration paper, Wisconsin, June 2002.
  • Zhang, Mulchandani, Christ, Murphy, and Rundensteiner Rainbow: Mapping-Driven XQuery Processing System, SIGMOD'02, Software system demonstration paper, Wisconsin, June 2002.
  • Chen, L., Rundensteiner, E.A., and Wang, S. XCache - A Semantic Caching System for XML Queries, SIGMOD'02, Software system demonstration paper, Wisconsin, June 2002.
  • Andreas Koeller and Elke Rundensteiner, Incremental Maintenance of Schema-Restructuring Views, Int. Conf. on Extending Data Base Technology (EDBT), March 26--30, 2002, Prague.
  • Kurt W. Deschler and Elke Rundensteiner, B+ Retake: Sustaining High Volume Inserts into Large Data Pages, ACM Fourth International Workshop on DATA WAREHOUSING AND OLAP (DOLAP 2001), in Atlanta, GA, USA, on November 9, 2001.
  • Sudhir R. Kaushik and Elke Rundensteiner, SEE: A Spatial Exploration Environment Based on a Direct-Manipulation Paradigm, IEEE Transaction on Data and Knowledge Engineering, 2001, July/August. 13(4): 654-670 (2001)
  • Kajal T. Claypool, Elke Rundensteiner and George T. Heineman, ROVER: Flexible Yet Consistent Evolution of Relationships Data and Knowledge Engineering, ER2000 Special Issue, 2001.
  • Hong Su, Harumi Kuno, and Elke Rundensteiner, Automating the transformation of XML documents, Workshop on Web Information and Data Management (WIDM'01), Atlanta, GA, USA, pages 68-75, Nov. 2001.
  • X. Zhang, Elke Rundensteiner, and L. Ding, PVM: Parallel View Maintenance Under Concurrent Data Updates Of Distributed Sources, (ps), Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK'00), Italy, Lecture Notes in Computer Science (LNCS), Springer Verlag, Sept. 2001.
  • K. Claypool, Elke Rundensteiner, X. Zhang, H. Su, H. Kuno, G. Mitchell, and W.C. Lee, Model Management - A Solution to Support Multiple Data Models, Their Mappings and Maintenance, ACM SIGMOD, May 2001. (demonstration paper).
  • J. Chen, X. Zhang, S. Chen, A. Koeller, Elke Rundensteiner, DyDa: Data Warehouse Maintenance in a Fully Concurrent Environments, ACM SIGMOD, demonstration paper, May 2001.
  • Li Chen, Elke Rundensteiner, Afshan Ally, Rice Chen and Weidong Kou, Active Page Generation via Customizing XML for Data Beans in E-Commerce Applications, 2nd International Symposium on Electronic Commerce (ISEC2001; http://www.eti.hku.hk/isec2001), Hong Kong, April 26-28, 2001. Springer Verlag, Lecture Notes in Computer Science (LNCS). pages 79-97.
  • Xin Zhang, Gail Mitchell, Wang-chien Lee, Elke Rundensteiner, Clock:Synchronizing Internal Relational Storage with External XML Documents, RIDE-DM 2001: 111-118
  • Diane Kramer, Hong Su, Li Chen, Kajal Claypool, Elke Rundensteiner, Change Management of Evolving XML Documents, RIDE-DM 2001: 103-110
  • Elke. A. Rundensteiner, On WPI Database Evolution Project, INVITED PRESENTATION and PAPER, DEMM'2000 Workshop, Germany, Dagstuhl, Heidelberg, Oct. 2000.
  • Hong Su, Kajal T. Claypool, and Elke. A. Rundensteiner, Extending the Object Query Language for Transparent Metadata Access, DEMM'2000 Workshop, Germany, Dagstuhl, Heidelberg, Oct. 2000. FMLDO 2000: 182-201
  • Li Chen, Kajal T. Claypool and Elke Rundensteiner, SERFing the Web: The Re-Web Approach for Web Re-Structuring, authored by World Wide Web journal, special issue on World Wide Web Data Management, vol 3(no 2): 95-109 (2000).
  • Fua, Y.-H., Ward, M. O., and Elke Rundensteiner, Structure-Based Brushes: A Mechanism for Navigating Hierarchically Organized Data and Information Spaces, IEEE Transactions on Visualization and Computer Graphics. April - June 2000, vol. 6, no. 2, pp. 150 -159. (invited paper selected from IEEE Symposium on Information Visualization),
  • Elke Rundensteiner, A. Koeller, and X. Zhang, Maintaining Data Warehouses over Changing Information Sources, Comm. of ACM, 43(6): 57-62 (2000). (Invited feature article).
  • Claypool, K. T. Li Chen, and Elke Rundensteiner, Personal Views for Web Catalogs, IEEE Bulletin, Special Issue on Database Technology for E-Commerce, IEEE, March 2000.
  • Crestana, V. M., Lee, A. and Elke Rundensteiner, Consistent Schema Version Removal: An Optimization Technique for Object-Oriented Views, IEEE Transaction on Data and Knowledge Engineering, Vol. 12, No. 2, March/April 2000, pp. 261 - 270.
  • Kajal T. Claypool, and Elke. A. Rundensteiner, and George T. Heineman, Evolving the Software of a Schema Evolution System, DEMM'2000 Workshop, Germany, Dagstuhl, Heidelberg, Oct. 2000. FMLDO 2000: 68-84.
  • Matthew O. Ward, Jing Yang and Elke Rundensteiner, Hierarchical Exploration of Large Multivariate Data Sets, Proceedings Dagstuhl '00: Scientific Visualization. May 2000. (2001, as a book chapter).
  • Kajal T. Claypool, Elke Rundensteiner and George T. Heineman, ROVER: A Framework for Evolution of Relationships, International Conference on Conceptual Modeling, ER'2000, Salt Lake City, Oct. 2000. 409-422.
  • Ionel D. Stroe, Elke Rundensteiner and M. O. Ward, Scalable Visual Hierarchy Exploration, Database and Expert Systems Applications, Dexa'2000. Greenwich, England, Lecture Notes in Computer Science (LNCS), Springer Verlag, Sept. 2000. DEXA 2000: 784-793
  • A. Koeller and Elke Rundensteiner, A History-Driven Approach at Evolving Views Under Meta Data Changes, Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK'00), Greenwich, UK, Sept 4 to 6, 2000, Lecture Notes in Computer Science (LNCS), Springer Verlag, Sept. 2000. 168-177.
  • Xin Zhang and Elke Rundensteiner, DyDa: Dynamic Data Warehouse Maintenance in a Fully Concurrent Environment, Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK'00), Greenwich, UK, Sept 4 to 6, 2000, Lecture Notes in Computer Science (LNCS), Springer Verlag, Sept. 2000. 94-103.
  • Lingli Ding, Xin Zhang, and Elke Rundensteiner, Scalable Maintenance of Multiple Interrelated Data Warehousing Systems, Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK'00), Greenwich, UK, Sept 4 to 6, 2000, Lecture Notes in Computer Science (LNCS), Springer Verlag, Sept. 2000. 104-113.
  • Kajal T. Claypool, Chandrakant Natarajan and Elke, A. Rundensteiner Optimizing the Performance of Schema Evolution Sequences, ECOOP 2000, Objects and Databases Workshop, June 2000, France. Springer Verlag, LNCS, Volume 1813. 114-127.
  • Luping Quan, Li Chen, Elke Rundensteiner. Argos: Efficient Refresh in an XQL-Based Web Caching System, Web Database Workshop'2000, May 2000. (workshop co-located with ACM SIGMOD).
  • Elke Rundensteiner, Claypool, K. T., Chen, L., Su, H. and Oenoki, K. SERFing the Web: Web-Site Management Made Easy SIGMOD'00, Software system demonstration paper, Dallas, May'00, pp. 585.
  • Chen, L. and Elke Rundensteiner Aggregation Path Index for Incremental Web View Maintenance The Second International Workshop on Advanced Issues of E-Commerce and Web-based Information Systems (WECWIS 2000), San Jose, June 2000. 231-238.
  • Ding, L., Zhang, X., and Rundensteiner, E.A., The MRE Wrapper Approach : Enabling Incremental View Maintenance of Data Warehouses Defined on Multi-Relation Information Sources ACM DOLAP'99, Kansas City, Missouri, USA, Nov. 6, 1999.
  • Elke Rundensteiner, Kuno, H. A. and Zhou, J. Experimental Evaluation of the SMX Strategy for Incremental Materialized Path View Maintenance, Int. Journal of Computer Systems, Science and Engineering, Special Issue on Selected Papers from Object-Oriented Information Systems (OOIS'98) Conference, G. Grosz (Guest Editor), Vol. 14, No. 6, Nov. 1999, CLP Pub., pp. 331-342.
  • Claypool, K. T. and Elke Rundensteiner, Flexible Database Transformations: The SERF Approach, IEEE Bulletin, Special Issue on Database Transformation Technology, IEEE, March 1999,pp. 19-24.
  • Andreas Koeller and Elke Rundensteiner, View Synchronization: Integrating the Rewriting and Ranking of View Queries, Journal of Computer Science and Information Management (CSIM), Special Issue on Selected DOLAP98 Papers, (Special Issue Editor I.-Y. Song), July 1999, Vol. 2, No. 1 issue.
  • Chaudhry, N., Moyne, J. and Rundensteiner, E.A., An Extended Database Design Methodology for Uncertain Data Management, Information Sciences, Elsevier Pub. 1999.
  • Fua, Y.-H., Ward, M. O., and Elke Rundensteiner, Navigating Hierarchies with Structure-Based Brushes, IEEE Symposium on Information Visualization, 1999.
  • Fua, Y.-H., Elke Rundensteiner, and Ward, M. O., `Hierarchical Parallel Coordinates for Visualizing Large Multivariate Data Sets, IEEE Conf. on Visualization '99, pp. 43-50.
  • Choubey, R., Chen, L, and Elke Rundensteiner, GBI: A Generalized R-Tree Bulk-Insertion Strategy, 6th International Symposium on Large Spatial Databases (SSD'99), Hong Kong, China, July 1999.
  • Anisoara Nica and Elke Rundensteiner, View Maintenance Strategies after View Synchronization, IDEAS'99, Montreal, Canada, July 1999.
  • Zhang, X. and Elke Rundensteiner , PSWEEP: Parallel View Maintenance Under Concurrent Data Updates of Distributed Sources, TR#: WPI-CS-TR-99-14.
  • Zhang, X. and Rundensteiner, E. A., The SDCC Framework For Integrating Existing Algorithms for Diverse Data Warehouse Maintenance Tasks, IDEAS'99, Montreal, Canada, July 1999.
  • Elke Rundensteiner, A. Koeller, X. Zhang, Lee, A. J., and Nica, A., Evolvable View Environment ({\textsl EVE): A Data Warehousing System Handling Both Schema and Data Changes of Distributed Sources, IDEAS'99, Demo paper, Montreal, Canada, July 1999.
  • Lee, A. J., Koeller, A., Nica, A., and Elke Rundensteiner, Non-Equivalent Query Rewritings 9th International Database Conference, (IDC'99), City University of Hong Kong Press Kowloon, Hong Kong, July 1999, pp. 248-262.
  • Elke Rundensteiner, Andreas Koeller, Xin Zhang, Amy J. Lee, and Anisoara Nica, Amber VanWyk, and Yong Li, Evolvable View Environment (EVE): Non-Equivalent View Maintenance under Schema Changes, ACM SIGMOD'99 Conf, Software system demonstration and paper, Philadelphia, USA, May 1999.
  • Elke Rundensteiner, K. Claypool, M. Li, L. Chen, X. Zhang, C. Natarajan, J. Jing, S. De Lima, S. Weiner, SERF: ODMG-Based Generic Re-structuring Facility, ACM SIGMOD'99 Conf, Software system demonstration and paper, Philadelphia, USA, May 1999, 568-570.
  • Lee, A. J., Koeller, A., Nica, A., and Elke Rundensteiner, Data Warehouse Evolution: Trade-Offs between Quality and Cost of Query Rewritings, Poster paper, 1 page, International Conference on Data Engineering, Sydney, Australia, March 23-26, 1999, (full paper is Technical Report WPI-CS-TR-98-2, Feb. 1998).
  • Zhang, X. and Rundensteiner, E. A., Data Warehouse Maintenance Under Concurrent Schema and Data Updates, Poster paper, International Conference on Data Engineering, Sydney, Australia, March 23-26, 1999, (full paper is Technical Report WPI-CS-TR-98-8, Dec. 1998.).
  • Koeller, A., Elke Rundensteiner, and N. Hachem, Integrating the Rewriting and Ranking Phases of View Synchronization, First International Workshop on Data Warehousing and Online Analytical Processing (DOLAP98), Washington, D.C., Nov. 7, 1998. (full paper is Technical Report WPI-CS-TR-98-23, Nov. 1998; co-authored by Andreas Koeller, Elke Rundensteiner and Nabil Hachem)
  • Claypool, K. T., Elke Rundensteiner, Chen, L., and Kothari, B., Re-usable ODMG-based Templates for Web View Generation and Restructuring, CIKM'98 Workshop on Web Information and Data Management (WIDM'98), Washington, D.C., Nov. 6,1998.
  • Claypool, K. T. and Elke Rundensteiner, OQL-SERF: An ODMG Implementation of the Template-Based Schema Evolution Framework, CASCON'98 Conference, Nov. 30 - Dec. 3, Mississauga, Ontario, Canada.
  • Claypool, K.T., Jin, J., and Rundensteiner, E.A., SERF: Schema Evolution through an Extensible, Re-usable and Flexible Framework, Seventh International Conference on Information and Knowledge Management (CIKM'98), Washington, D.C., Nov. 1998.
  • Chen, L., Choubey, R., and Elke Rundensteiner, Bulk-Insertion into R-trees Using the STLT Approach, ACM Workshop on Geographic Information Systems (ACM GIS'98), short paper, Washington, D.C., Nov. 1998.
  • Kaushik, S. and Elke Rundensteiner, SVIQUEL: A Spatial Visual Query and Exploration Language, Ninth Workshop of Database and Expert Systems Applications (DEXA'98), August 26-28, 1998, in Vienna, Austria. [ Lecture Notes in Computer Science (LNCS), LNCS 1460 Springer-Verlag, pp. 290-299 ]
  • Ward, M., Resnick, R., and Elke Rundensteiner, FED - A Framework for Iterative Data Selection in Exploratory Visualization, 10th SSDBM Conference, July 1998, Italy.
  • Nica, A. and Rundensteiner, E.A., Using Containment Information for View Evolution in Dynamic Distributed Environments, Data Warehouse Design and OLAP Technology, DWDOT'98, Vienna, Austria, Sept. 1998.
  • Elke Rundensteiner Lee, A. J. and Ra, Y.-G., Capacity-Augmenting Schema Changes on Object-Oriented Databases: Towards Increased Interoperability, Object-Oriented Information Systems (OOIS'98), Paris, Sept. 1998. (paper selected to be among the top papers of conference).
  • Elke Rundensteiner, Kuno, H. A. and Zhou, J. Incremental Maintenance of Materialized Path Query Views, Object-Oriented Information Systems (OOIS'98), Paris, Sept. 1998.
  • Kaushik, S. and Elke Rundensteiner, Direct-Manipulation Spatial Exploration Using SVIQUEL, Visual Database Systems, Short paper and software system demonstration, Acquila, Italy, May 1998. pp. 179-185.
  • Lee, A. J. and Elke Rundensteiner, Data Warehouse Evolution: Consistent Metadata Management Session: Data Mining and Data Warehousing, 1998 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, October 10-14, 1998.
  • Zhou, L. , Shin, K.G. and Rundensteiner, E.A., Rate-Monotonic Scheduling in the Presence of Timing Unpredictability, Fourth IEEE Real-Time Technology and Applications Symposium, Denver, Colorado, June 3-5, 1998. (short paper).
  • Hibino, S. and Elke Rundensteiner, Comparing MMVIS to a Timeline for Temporal Trend Analysis of Video Data, Advanced Visual Interfaces (AVI) Conference Proceedings, NY: ACM Press, Acquila, Italy, 1998, pp. 195-204.
  • Chaudhry, N., Moyne, J. and Rundensteiner, E.A., A Formal Model for Rule Inheritance and Overriding in Active Object-Oriented Databases, International Workshop on Issues and Applications of Database Technology, IADT'98, Berlin, Germany, July 1998.
  • Nica, A., Lee, A. J. and Elke Rundensteiner , The CVS Algorithm for View Synchronization n Evolvable Large-Scale Information Systems Extending Database Technology, Valencia, Spain, 1998.
  • Chaudhry, N., Moyne, J. and Rundensteiner, E.A., Aggregation and Inheritance Relationships for Process Specification in Object-Oriented Databases, Theory and Practice of Object Systems, (Editor-in-Chief, Prof. Karl Lieberherr), in submission, Sep 1998.
  • Chaudhry, N., Moyne, J. and Rundensteiner, E.A., Active Controller: An Object-Oriented Framework for Process Flow Management for Semiconductor Manufacturing, IEEE Trans. on Components, Packaging, and Manufacturing Technology, Part C: Manufacturing. (CPMT), July 1998, Vol 21, Number 3, pp. 217-224.
  • Huang, Y.W., Jing, N. and Rundensteiner, E.A., Symbolic Intersect Detection: A Method for Improving Spatial Intersect Joins, Journal of GeoInformatica, Special issue on Spatial Database Systems, 2:2, 149-174 (1998), Kluwer Aca. Pub.
  • Nica, A. and Elke Rundensteiner, Loosely-Specified Query Processing in Large-Scale Information Systems, invited and accepted for publication in the International Journal of Cooperative Information Systems, 7(1): 77 - 104 (1998).
  • Jing, N., Huang, Y.W., and Elke Rundensteiner, Hierarchical Encoded Path Views for Path Query Processing: An Optimal Model and Its Performance Evaluation, IEEE Transaction on Data and Knowledge Engineering,, Vol. 10, No. 3, May/June 1998.
  • Kuno, H. A. and Rundensteiner, E.A., Incremental Maintenance of Materialized Object-Oriented Views in MultiView: Strategies and Performance Evaluation, IEEE Transaction on Data and Knowledge Engineering, Vol. 10, No. 5, Sept/Oct. 1998, pp. 768 - 792.
  • Elke Rundensteiner Lee, A. J., and Nica, A., On Preserving Views in Evolving Environments, Proceedings of 4th Int. Workshop on Knowledge Representation Meets Databases (KRDB'97): Intelligent Access to Heterogeneous Information, Athens, Greece, Aug 1997, pp. 13.1-13.11.
  • Kuno, H. A. and Rundensteiner, E.A., The MultiView OODB View System: Design and Implementation, Theory and Practice of Object Systems (TAPOS), Internat. Journal, Special Issue on Subjectivity, Vol. 2, No. 3., John Wiley & Sons Pub., 1997, pp. 202-225.
  • Ra, Y.G. and Elke Rundensteiner, A Transparent Schema Evolution System Based on Object-Oriented View Technology, in IEEE Trans. on Knowledge and Data Engineering, Sept/Aug. 1997, pp. 600-624.
  • Zhou, L., Elke Rundensteiner, and K. G. Shin. Schema Evolution of an Object-Oriented Real-Time Database System for Manufacturing Automation, IEEE Transaction on Data and Knowledge Engineering, Vol. 9, No. 6, Nov/Dec 1997, pp. 956 - 977.
  • Huang, Y.W., Jing, N. and Rundensteiner, E.A., A Hierarchical Path View Model for Path Finding in Intelligent Transportation Systems, Journal of GeoInformatica, 1:2, pp. 125-159 (1997), Kluwer Aca. Pub.
  • Lee, A. J., Nica, A., and Elke Rundensteiner, Keeping Virtual Information Resources Up and Running, Proceedings of IBM Centre for Advanced Studies Conference (CASCON97), Best Paper Award, Nov. 1997.
  • Hibino, S., and Elke Rundensteiner, Processing Incremental Multidimensional Range Queries in a Direct Manipulation Visual Query Environment, Proceedings of the 1998 IEEE Int. Conf. on Data Engineering, Los Alamitos, CA: IEEE Computer Society, pp. 458 - 465, Feb. 1998.
  • Jones, M. and Elke Rundensteiner, View Materialization Techniques for Complex Hierarchical Objects, IEEE. Conf. on Information and Knowledge Management (CIKM), Nov. 1997.
  • Hibino, S., and Elke Rundensteiner, User Interface Evaluation of a Direct-Manipulation Temporal Visual Query Language, ACM MultiMedia'97 Conference, NY: ACM Press, Nov. 1997, pp. 99 - 107.
  • Huang, Y.-W., Jing, N. and Elke Rundensteiner, Spatial Joins Using R-trees Based on Breadth-First Traversal, 23nd Intl. Conf. on Very Large Data Bases, Athens, Greece, Aug. 1997. pp. 396-405.
  • Nica, A. and Elke Rundensteiner, On Translating Loosely-Specified Queries into Executable Plans in Large-Scale Information Systems Second IFCIS Conference on Cooperative Information Systems (CoopIS-97), June 24-27, 1997, Charleston, South Carolina, USA.
  • Huang, Y.W., Jing N. and Elke Rundensteiner, A Cost Model for Estimating the Performance of Spatial Joins Using R-trees, 9th International Conference on Scientific and Statistical Database Management (SSDBM'97), Olympia, Washington, August 11 - 13, 1997.
  • Huang, Y.W., Jones, M. and Elke Rundensteiner, Improving Spatial Join Processing Using Symbolic Intersect Detection, 5th International Symposium on Large Spatial Databases (SSD'97), Berlin, Germany, July 15-18, 1997.
  • Huang, Y.W., Jing N. and Elke Rundensteiner, Query Processing Strategies for Spatial Path Queries, IEEE Int. Conf. on Data Engineering, (ICDE-13), April 1997, England.
  • Elke Rundensteiner, Object-Oriented View Technology: Challenges and Promises, International Symposium on Cooperative Database Systems for Advanced Applications, December 5-7, 1996, Heian Shrine, Kyoto, JAPAN. (invited paper).
  • Kuno, A., and Elke Rundensteiner, Incremental Maintenance of Materialized Path Query OODB Views, International Symposium on Cooperative Database Systems for Advanced Applications, December 5-7, 1996, Heian Shrine, Kyoto, JAPAN.
  • Crestana, V. M., Lee, A. and Elke Rundensteiner, Sustaining Software Interoperability Via Shared, Evolving Object Repositories: System Optimization and Evaluation, Proceedings of IBM Centre for Advanced Studies Conference (CASCON96), Oct. 1996.
  • Hibino, S., and Elke Rundensteiner, MMVIS: Design and Implementation of a Multimedia Visual Information Seeking Environment, ACM Multimedia'96 conference, Boston, MA, NY: ACM Press, pp. 75 - 86, Nov. 96.
  • Hibino, S., and Elke Rundensteiner, MMVIS: A MultiMedia Visual Information Seeking Environment for Video Analysis, Computer Human Interactions (CHI) 1996 Conference Companion, Formal Demonstration Summary, 1996, 2 pages.
  • Zhou, L., Washburn, M. J., Shin, K.G. and Rundensteiner, E. A. Performance Evaluation of Modular Real-time Controllers, Proc. of 1996 ASME Int. Mechanical Eng. Congress and Exposition: Dynamic Systems and Control Division (IMECE), DSC-Vol. 58, Nov. 1996, pp. 299- 306.
  • Chaudhry, N., Moyne, J. and Rundensteiner, E.A., Utilizing Fuzzy Data and Rules for Discrete control of Semiconductor Manufacturing, Fifth International Conference on Data and Knowledge Systems for Manufacturing and Engineering (DKSME '96), Phoenix, Arizona, Oct. 24-25, 1996
  • Jing, N., Huang, Y.W., and Elke Rundensteiner, Hierarchical Optimization of Optimal Path Finding for Transportation Applications ACM 5th Int. Conf on Information and Knowledge Management (CIKM'96), Nov. 1996.
  • Huang, Y.W., Jing, N., and Elke Rundensteiner, Effective Graph Clustering for Path Queries in Digital Map Databases, ACM 5th Int. Conf on Information and Knowledge Management (CIKM'96), Nov. 1996.
  • Elke Rundensteiner, Kuno, H. A., Ra, Y.-G., Crestana, V., Jones, M. C. and Marron, P. J. , Demonstration paper: The MultiView Project: Object-Oriented View Technology and Applications, ACM SIGMOD Conf, pp. 555, 1996.
  • Kuno, H. A., and Elke Rundensteiner, Using Object-Oriented Principles to Optimize Update Propagation to Materialized Views, IEEE Int. Conf. on Data Engineering, (ICDE-12), 1996, March 1996, pp. 310-317.
  • Zhou, L., Shin, K.G. Rundensteiner, E. A. and Soparkar, N., Probabilistic Real-Time Data Access with Interval Constraints First International Workshop on Real-Time Databases: Issues and Applications, March 7-8, 1996, Newport Beach, California.
  • Huang, Y.W., Jing, N., and Elke Rundensteiner, Path View Algorithm for Transportation Networks: The Dynamic Reordering Approach, ACM Workshop on Geographic Information Systems (ACM GIS'96), Washington, D.C., Nov. 1996.
  • Taube, V. C., and Elke Rundensteiner, Schema Removal Issues for Transparent Schema Evolution, RIDE'96 workshop, IEEE, 1996, March 1996.
  • Kuno, H. A., and Elke Rundensteiner, Augmented Inherited Multi-Index for Path Views RIDE'96 workshop, IEEE, 1996, March 1996.
  • Atkins, D. E. et al. from UM DL team, Toward inquiry-based education through interacting software agents, IEEE Computer, Special Issue on Building Large-Scale Digital Libraries, Vol. 29, No. 5, May 1996, pp. 69 -- 76.
  • Lee, A.J, Elke Rundensteiner, and Thomas, S. W., Active OODB System for Genome Map Assembly, Information Systems, Special Issue on Scientific Databases, vol. 20: 2, April 1995.
  • Huang, Y.W., Jing, J., and Elke Rundensteiner, Hierarchical Path Views: A Model Based on Fragmentation and Transportation Road Types, ACM Workshop on Geographic Information Systems, Nov. 1995.
  • Ra, Y.G., and Rundensteiner, E.A., Supporting Hard Changes in TSE, ACM 4th Int. Conf on Information and Knowledge Management (CIKM'95), Nov. 1995.
  • Chaudhry, N. A., Moyne, J. R., and Elke Rundensteiner, A Generic Framework for Inter-Cell Control of a Semiconductor Manufacturing Facility, 42nd National Symposium of the American Vacuum Society, Minneapolis, October 16-20, 1995
  • Hibino, S., and Elke Rundensteiner, Interactive Visualizations for Exploration and Spatio-Temporal Analysis of Video Data, IJCAI-95 workshop, Intelligent Multimedia Information Retrieval, Montreal, Quebec, Aug. 1995.
  • A. Nica and Elke Rundensteiner, Uniform Structured Document Handling Using a Constraint-based Object Approach, A Forum on Research and Technology Advances in Digital Libraries (ADL'95), Virginia, May 1995.
  • Hibino, S., and Elke Rundensteiner, A Graphical Query Language for Identifying Temporal Trends in Video Data, 1995 International Workshop on Multi-Media Database Management Systems (IW-MMDBMS'95), Loas Alamitos, CA: IEEE Computer Society Press. Aug. 1995, pp. 74 - 81.
  • Zhou, L., Elke Rundensteiner, and K. Shin, OODB Support for Real-Time Open-Architecture Controllers, 4th International Conference on Database Systems for Advanced Applications (DASFAA '95), April 10-13, 1995.
  • Kuno, H. A., and Elke Rundensteiner, Incremental Maintenance Algorithms for Object-Oriented Views, Fifth International Workshop on Research Issues on Data Engineering: Distributed Object Management (RIDE-DOM'95), IEEE, 1995, Taipei, Taiwan, March 6-7, 1995.
  • Ra, Y.G., and Elke Rundensteiner, A Transparent Object-Oriented Schema Change Approach Using View Evolution, IEEE Int. Conf. on Data Engineering, (ICDE-11), 1995, Taipei, Taiwan, March 1995.
  • Thomas, S. W., Elke Rundensteiner, and Lee, A.J, Visualization and Database Tools for YAC and Cosmid Contig Construction, Project-Oriented Databases and Knowledge Bases in Genome Research, Biotechnology Computing Track, Twenty-seventh Hawaii International Conference of System Sciences, HICSS-28, Jan. 1995.
  • Huang, Y.W., Jing, J., and Elke Rundensteiner, A Semi-Materialized View Approach for Route Maintenance in Intelligent Vehicle Highway Systems, ACM Workshop on Geographic Information Systems, Nov. 1994.
  • Elke Rundensteiner, Bic, L., Gilbert, J., and Yin, M., Set-Restricted Semantic Groupings, IEEE Transactions on Data and Knowledge Engineering, Vol. 6, No. 2, April 1994, pp. 1287 -- 1299.
  • Jones, M., and Elke Rundensteiner, Extending View Technology for Complex Integration Tasks, 4th Int. IFIP 10.5 Working Conference on Electronic Design Automation Frameworks, Nov. 28-30, 1994.
  • Ra, Y.G., and Elke Rundensteiner, OODB Support for Providing Transparent Schema Changes, Proceedings of IBM Centre for Advanced Studies Conference, ( CASCON), Oct. 1994, electronic publication.
  • Elke Rundensteiner, Classification for Consistent Object-Oriented Views, ACM 2nd Int. Conf. on Info.\ and Knowledge Management (CIKM'94), Nov. 1994, pp. 18 - 25.
  • Chaudhry, N. A., Moyne, J. R., and Elke Rundensteiner, A Design Methodology for Databases with Uncertain Data, Conf. on Statistic and Scientific Databases, Virginia, Sept. 1994.
  • Lee, A.J, Elke Rundensteiner, Thomas, S. W., PMA: Active OODB System for Genome Map Assembly, Conf. on Statistic and Scientific Databases, Virginia, Sept. 1994.
  • University of Michigan Project Team, The University of Michigan Digital Library: this is not your father's library, Digital Libraries '94, Conference on the Theory and Practice of Digital Libraries, College Station, Texas, USA, June, 1994.
  • Thomas, S., Lee, A., and Elke Rundensteiner, Object-Oriented Database Tools for Map Assembly, Genome Mapping and Sequencing meeting, Cold Spring Harbor, May 1994. (abstract only)
  • Elke Rundensteiner, Tools for View Generation in OODBs, ACM 2nd Int. Conf on Information and Knowledge Management (CIKM'93), Nov. 1993, pp. 635 -- 644.
  • Elke Rundensteiner, Gajski, D. D., and Bic, L., Component Synthesis from Functional Descriptions, IEEE Transactions on Computer-Aided Design, Sept. 1993, Vol. 12, No. 9, pp. 1287 - 1299.
  • Elke Rundensteiner, and Hawkes, L. W., Different approaches towards fuzzy database systems. A Survey., Journal of Fuzzy Logic and Intelligent Systems, Korean Fuzzy Mathematics and Systems Society, Vol. 3, No. 1, 1993, pp. 65 - 75. Special Issue in Honor of W. Bandler Aug. 1986.
  • Elke Rundensteiner, Design Tool Integration Using Object-Oriented Database Views, IEEE Int.\ Conf.\ on Computer-Aided Design, Santa Clara, California, Nov. 1993, pp. 104 - 107.
  • Lee, A. J., Elke Rundensteiner, Thomas, S. and Lafortune, S., An Information Model For Genome Map Representation and Assembly, ACM 2nd Int.\ Conf.\ on Information and Knowledge Management (CIKM'93), Nov. 1993, pp. 675 -- 684.
  • Kuno, H. A. and Elke Rundensteiner, Developing an Object-Oriented View Management System, Proceedings of IBM Centre for Advanced Studies Conference, Oct. 1993, pp. 548 - 562.
  • Elke Rundensteiner, MultiView: A Methodology for Supporting Multiple View Schemata in Object-Oriented Databases, 18th Int. Conference on Very Large Data Bases (VLDB'92), Vancouver, Canada, pp. 187 - 198, Aug. 1992.
  • Elke Rundensteiner, and Bic, L., Set Operations in Object-Based Data Models, in IEEE Transactions on Data and Knowledge Engineering, Vol. 4, No. 4, August 1992, pp. 382 -- 398.
  • Elke Rundensteiner, and Bic, L., Evaluating Aggregates in Possibilistic Relational Databases, Data and Knowledge Engineering Journal, vol. 7, 1992, pp. 239--267.
  • Elke Rundensteiner, and Gajski, D. D., Functional Synthesis Using Area and Delay Optimization, 29th ACM/IEEE Design Automation Conf. (DAC'92), Anaheim, California, June 1992.
  • { Elke Rundensteiner, and Gajski, D. D., A Unified Design Data Representation Model and Matching Exchange Format for Supporting Behavioral Synthesis, in European Design Automation Conference, (EDAC'92), Poster Session, Brussels, Belgium, March 1992.
  • Elke Rundensteiner, Bic, L., Gilbert, J., and Yin, M., A Semantic Integrity Framework: Set Restrictions for Semantic Groupings, IEEE Int. Conf. on Data Engineering, (ICDE-7), Kobe, Japan, April 1991, pp. 710 -- 717.
  • Elke Rundensteiner, Bic, L., Gilbert, J., and Yin, M., Restricting Is-A Related Groupings Using Object Equivalence, The Second Int. Symposium on Database Systems for Advanced Applications (DASFAA'91), Tokyo, Japan, April 1991.
  • Elke Rundensteiner, and Gajski, D. D., A Design Database for Behavioral Synthesis, Fifth International Workshop for High-Level Synthesis (HLSW'91), Buehlerhoehe, West Germany, March 1991.
  • Elke Rundensteiner, Gajski, D. D., and Bic, L., Component Synthesis Algorithm: Technology Mapping for Register Transfer Descriptions, IEEE Int. Conf. on Computer-Aided Design, Santa Clara, California, Nov. 1990, pp. 208 - 211.
  • Hawkes, L. W., Derry, S. J., and Elke Rundensteiner, Individualized Tutoring Using an Intelligent Fuzzy Temporal Relational Database, International Journal of Man-Machine Studies, vol. 33, 1990, pp. 409 - 429.
  • Elke Rundensteiner, and Bic, L., Set Operations in a Data Model Supporting Complex Objects, Int. Conf. on Extending Data Base Technology (EDBT), March 26--30, 1990, Fondazione Cini, Venice, Italy (also published in Lecture Notes in Computer Science, vol. 416, 1990, pp. 286 - 300.).
  • Elke Rundensteiner, and Bic, L., Semantic Data Models and their Potential For Capturing Imprecision, Conference on Management of Data, COMAD'89, Hyderabad, India, Nov. 1989. * Camera Ready Deadline: November 5th, 2013, 5pm Pacific Time , 1989.
  • Elke Rundensteiner, Hawkes, L. W., and Bandler, W., On Nearness Measures in Fuzzy Relational Data Models, in International Journal of Approximate Reasoning, vol. 3, no. 3, July 1989, pp. 267 -- 298.
  • Van Dommelen, L. L., and Elke Rundensteiner, Fast, adaptive summation of point forces in the two-dimensional Poisson equation, Journal of Computational Physics, vol. 83, no. 1, 1989, pp. 126 -- 147.
  • Elke Rundensteiner, and Bic, L., Class Creation by Set Operations, ACM SIGART Fourth Int. Symposium on Methodologies for Intelligent Systems, ISMIS'89 Poster Session, Charlotte, NC, Oct. 1989.
  • Elke Rundensteiner, and Bic, L., Aggregates in Possibilistic Databases, 15th Int. Conference on Very Large Data Bases (VLDB'89), Amsterdam, The Netherlands, Aug. 1989, pp. 287 - 295.
  • Elke Rundensteiner, and Bic, L., Towards Modeling Imprecision in Semantic Data Models Proc.\ of the Third International Fuzzy Systems Association World Congress (IFSA'89), Seattle, Washington, Aug. 1989.
  • Elke Rundensteiner, and Bic, L., Functional Enhancement of a Knowledge Base, The Third Western Expert Systems Conference, Anaheim, CA, June 1988.
  • Elke Rundensteiner, Hawkes, L. W., and Bandler, W., Set-Valued Temporal Knowledge Representation for Fuzzy Temporal Retrieval in ICAI, (extended abstract), International Journal of Approximate Reasoning, vol. 2, issue 2, April 1988.
  • Elke Rundensteiner, and Bic, L., Extending Fuzzy Relational Query Languages by Scalar Aggregates, NAFIPS '88, San Francisco, CA, June 1988.
  • Elke Rundensteiner, Bandler, W., Kohout, L., and Hawkes, L. W., An Investigation Of Fuzzy Nearness Measures, Proc.\ of the Second International Fuzzy Systems Association Congress (IFSA'87), Tokyo, Japan, July 1987.
  • Elke Rundensteiner, Hawkes, L. W., and Bandler, W., Set-valued Temporal Knowledge Representation for Fuzzy Temporal Retrieval in ICAI, Proceedings of NAFIPS '87, West Lafayette, Indiana, May 1987, pp. 37 - 65.
  • Elke Rundensteiner, and Hawkes, L. W., Design of a Student Record, Proceedings of the International Symposium on Methodologies for Intelligent Systems, ISMIS-86 Colloquia Program, Knoxville, Tennessee, Oct. 1986.
  • Elke Rundensteiner, and Bandler, W., Equivalence of the Knowledge Representation Schemata `semantic networks' and `fuzzy relational products' , Proceedings of NAFIPS '86, Recent Developments in the Theory and Applications of Fuzzy Sets, New Orleans, LA, June 1986.
  • Van Dommelen, L. L., and Elke Rundensteiner, Vortex Summation Using Bilingual Programming, 38th Meeting of the American Physical Society, Fluid dynamics section, Nov. 85, Tucson, Arizona.
  • Elke Rundensteiner, Semantic Networks Compared to Fuzzy Relational Products, Proceedings on Fuzzy Expert Systems and Decision Support, NAFIPS '85, Atlanta, Georgia, Oct. 1985.
  • Book Chapters

  • Rodica Neamtu, Caitlin Kuhlman, Ramoza Ashan, and Elke Rundensteiner, The impact of big data on making evidence-based decisions (chapter), in Frontiers of Data Science (book), (editors Matthias Dehmer and Frank Emmert-Streib), CRC Press, Taylor and Francis Group, Fall 2017.
  • Aparna Varde, Elke Rundensteiner and Sally Fahrenholz, XML Based Markup Languages for Specific Domains, Book Chapter, in Web-Based Support Systems, Springer Verlag, 2010. (editor: Yao JingTao).
  • Mingzhu Wei, Ming Li, Hong Su, Elke Rundensteiner, and Murali Mani. Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies, IGI Global, March 30, 2009, Information Science Reference, (Editor: Eric Pardede, LaTrobe University, Australia) ISBN: 978-1-60566-308-1; 394 pp; April 2009.
  • Elke Rundensteiner, Luping Ding, Yali Zhu, Timothy Sutherland and Bradford Pielech, CAPE: A Constraint-Aware Adaptive Stream Processing Engine, in Stream Data Management (Advances in Database Systems Series), 2005, chapter 5, Springer Verlag, pp. 83-111.
  • Andreas Koeller, Elke Rundensteiner, Amy Lee, and Anisoara Nica, Quality and Cost of Data Warehouse Views, in Intelligent Knowledge-Based Systems: Business and Technology in the New Millennium, Volume Two, Information Technology, Chapter 6, (editor, C. T. Leondes), October 2004. ( Kluwer website, www.wkap.nl ), ISBN 1-4020-7746-7 (hardcover), ISBN 1-4020-7829-3 (electronic book).
  • Jing Yang, Matthew O. Ward, and Elke Rundensteiner, Hierarchical Exploration of Large Multivariate Data Sets, in DATA VISUALIZATION: THE STATE OF THE ART, Proceedings Dagstuhl Seminar on Scientific Visualization, Kluwer Academic Publishers, 2002, in press.
  • Elke Rundensteiner, Data Warehousing, Computer Sciences (part of the Macmillan Science Library), Encyclopedia in Computer Sciences, Publisher: Macmillan Reference USA (Farmington Hills, MI), June 2002.
  • Huang, Y.W., Jing, N. and Elke Rundensteiner, Optimizing Path Query Performance: Graph Clustering Strategies, Geographic Information Systems in Transportation Research, vol. I, 2000. Elsevier Science (Pergamon). Volumne Editor: Jean-Claude Thill. (also Special Volume of Transportation Research, Part C: Emerging Technologies in Year 2000) pp. 381 - 408.
  • Chaudhry, N., Moyne, J. and Rundensteiner, E.A., Active Controller: An Object-Oriented Framework for Process Flow Management for Semiconductor Manufacturing, chapter 20 in Run-to-Run Control in Semiconductor Manufacturing, CRC Press LLC, Oct. 2000.
  • Chaudhry, N., Moyne, J. and Rundensteiner, E.A., Rule Inheritance and Overriding in Active Object-Oriented Databases, invited chapter in Current Trends in Database Technology by Idea Group Publishing, USA, Asuman Dogac and Ozgur Ulusoy, (editors), 1998.
  • Hibino, S., and Elke Rundensteiner, Interactive Visualizations for Temporal Analysis: Application to CSCW Multimedia Data, chapter in Intelligent Multimedia Information Retrieval, Intelligent Multimedia Information Retrieval, (ed. Mark T. Maybury), AAAI/MIT Press, May 1997. ( http://www.aaai.org:80/Press/Books/Maybury-2/ ). pp. 313 - 335, Boston, MA: MIT Press.
  • Zhou, L., Shin, K., Rundensteiner, E A., and Soparkar, N., Probabilistic Real-Time Data Access with Deadline and Interval Constraints, chapter in Real-Time Databases Systems: Issues and Applications edited by Azer Bestavros, Kwei-Jay Lin, Sang Hyuk Son, Kluwer Academic Publishers, ISBN 0-7923-9897-1, May 1997.
  • Hibino, S., and Elke Rundensteiner, A Visual Multimedia Query Language for Temporal Analysis of Video Data, invited chapter in book titled MultiMedia Database Systems: Design and Implementation Strategies, (ed. Kingsley C. Nwosu, Bhavani Thuraisingham, P. Bruce Berra,) pp. 123 -- 159, Norwell, MA: Kluwer Academic Publishers, 1996.
  • Nica A. and Elke Rundensteiner, Uniform Structured Document Handling +Using a Constraint-based Object Approach, Advances in Digital Libraries, (edited by N.R. Adam, B.K. Bhargava, M. Halem, and Y. Yesha), chapter 4, pp. 41 - 60, Springer Verlag, New York, 1995.
  • Elke Rundensteiner, The Role of AI in Databases versus the Role of Database Theory in AI, chapter in Artificial Intelligence in Databases and Information Systems (DS-3), IFIP, (eds. Meersman, R.A., Zhongzhi, S., and Kung, C.), Elsevier Science Publishers B. V., North Holland, March 1990, pp. 233--252. (also accepted as full paper in International Federation for Information Processing, IFIP TC2/TC8/WG 2.6/WG 8.1, China, July 1988).
  • Hawkes, L. W., Derry, S. J, Kandel, A. and TAPS Project Staff, Fuzzy Expert Systems for an Intelligent Computer-Based Tutor, in Fuzzy Expert Systems, A. Kandel (ed.), Readings, CRC Press, 1992.
  • Other Publications

  • Editorial, (with E. Bertino, and S. Urban) Special Issue on OO Databases and Applications (Selected Papers for ICDE'98), Theory and Practice of Object Systems (TAPOS), Internat. Journal, John Wiley & Sons Publisher, Vol. 5(3), page 3, 1999.
  • Editorial, Special Issue on Database Transformation Technology, IEEE Bulletin, IEEE, March 1999, page 3.
  • Patent Applications

  • Zhongfang Zhuang, Elke Rundensteiner, Xiangnan Kong, Jihane Zouaoui, Aditya Arora, AMADEUS Corporation, Machine Learning Systems and Methods for Attributed Sequences. US Patent Application 16/057,025; French Patent Application FR1857430.
  • Elke Rundensteiner, D. Wang, and R. T. Ellison, III. Active Complex Event Processing for Infection Control and Hygiene Monitoring. Patent Application US 20110246223 A1. Filed and pending.
  • C. K. Gupta, S. Wang, A. Mehta, M. Liu, and Elke Rundensteiner. Determining An Execution Ordering. US Patent 20160203185 A1, Granted July 14, 2016.
  • C. K. Gupta, S. Wang, A. Mehta, M. Liu, and Elke Rundensteiner. Nested Complex Sequence Pattern Queries Over Event Streams. Patent US 9298773 B2, Granted March 29, 2016.
  • Chetan Kumar Gupta, Song Wang, Abhay Mehta, Mo Liu, Elke Rundensteiner. Determining An Execution Ordering. US patent 9305058. Granted April 5, 2016.
  • C. K. Gupta, S. Wang, A. Mehta, M. Liu, and Elke Rundensteiner. Computing A Hierarchical Pattern Query From Another Hierarchical Pattern Query. Patent US 20130103638 A1, Granted April 25, 2013.
  • L. Ding, S. Chen, Elke Rundensteiner, J. Tatemura, and W.-P. Hsiung. Runtime Semantic Query Optimization for Event Stream Processing. US Patent 8065319 B2, Granted Nov. 22, 2011.
  • H. Su, H. Kuno, H., and E Rundensteiner. Method And System of Document Transformation. Between A Source Extensible Markup Language (XML) Schema and a Target XML Schema, US Patent 8032828 B2, Granted Oct 4, 2011.
  • W.-C. Lee, G. A. Mitchell, Elke Rundensteiner, and X. Zhang. System and method for synchronizing and/or updating an existing relational database with supplemental XML data. US Patent 7031956, B1, Granted April 18, 2006.
  • H. Su, H. Kuno, H., E Rundensteiner, and U. Dayal. Method And System of Valuing Transformation Between Extensible Markup Language (XML) Documents. US patent 6845380 B2, Granted Jan 18, 2005.
  • Chetan Kumar Gupta, Song Wang, Abhay Mehta, Mo Liu, Elke Rundensteiner. Computing a Hierarchical Pattern Query from another Hierarchical Pattern Query. US patent App # 13/280342.
  • Chetan Kumar Gupta, Song Wang, Abhay Mehta, Mo Liu, Elke Rundensteiner, Medhabi Ray. Nested Complex Sequence Pattern Queries over Event Streams. US patent 9298773. Granted March 29, 2016.
  • Elke Rundensteiner, Di Wang, and Richard T. Ellison, III. Active Complex Event Processing for Infection Control and Hygiene Monitoring. Pub No. US2011/0246223 A1 (Oct 6/2011), (Appl number 13/077,401; March 31, 2011) (UMMS10-52). 2011
  • Runtime Semantic Query Optimization for Event Stream Processing, Inventors: Luping Ding, Songting Chen, Elke Rundensteiner, Junichi Tatemura, Wang-Pin Hsiung, Selguk Candan, US 8065319B2. NEC Labs America.
  • US Patent 7031956, System and method for synchronizing and/or updating an existing relational database with supplemental XML data Inventors: Wang-Chien Lee, Gail Anne Mitchell, Elke Angelika Rundensteiner, and Xin Zhang. Verizon Laboratories Inc. US Patent Issued on April 18, 2006.
  • US Patent# 8,032,828 B2, Method And System of Document Transformation Between A Source Extensible Markup Language (XML) Schema and a Target XML Schema, Hong Su, H. Kuno, H., E Rundensteiner, Hewlett-Packard Laboratories, Palo Alto, CA. Issued on Oct 4, 2011.
  • US patent 6845380, (US 2003/0167254) Method And System of Valuing Transformation Between Extensible Markup Language (XML) Documents, Hong Su, H. Kuno, H., E Rundensteiner, and U. Dayal, Hewlett-Packard Laboratories, Palo Alto, CA. Issued on 1/18/2005.