Michael S. Steinbach

103 papers A* 11A 11C 3Misc 6Journal 37Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Combining self-supervision and privileged information for representation learning from tabular data. Knowl. Inf. Syst. Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon
2025	A*	`conf`	Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems. ICDM Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2024	A*	`conf`	Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. ICDM Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon
2024	J	`jnl`	Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2024	A	`conf`	Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
2024	A	`conf`	Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
2023	—	`conf`	Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon
2023	J	`jnl`	Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Comput. Surv. Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2023	A	`conf`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2023	J	`jnl`	Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. CoRR Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
2022	J	`jnl`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2022	J	`jnl`	Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. CoRR Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Vipin Kumar
2021	J	`jnl`	A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
2021	J	`jnl`	Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu
2021	J	`jnl`	Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2021	A	`conf`	Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
2021	J	`jnl`	Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon
2020	J	`jnl`	Integrating Physics-Based Modeling with Machine Learning: A Survey. CoRR Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2020	J	`jnl`	Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Trans. Knowl. Data Eng. Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
2020	J	`jnl`	Physics Guided Machine Learning Methods for Hydrology. CoRR Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2020	J	`jnl`	Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020	J	`jnl`	Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
2020	J	`jnl`	Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo
2020	C	`conf`	Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020	J	`jnl`	Teaching deep learning causal effects improves predictive performance. CoRR Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon
2019	Misc	`conf`	A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon
2019	—	`conf`	Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
2019	—	`conf`	Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon
2019	—	`book`	Introduction to Data Mining (Second Edition) Pang-Ning Tan, Michael S. Steinbach, Anuj Karpatne, Vipin Kumar
2019	A	`conf`	Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2018	—	`conf`	Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. ICBK Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon
2018	J	`jnl`	Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
2018	J	`jnl`	Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. CoRR Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
2018	J	`jnl`	Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2018	J	`jnl`	Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. CoRR Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar
2017	—	`conf`	Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon
2017	J	`jnl`	Mining Electronic Health Records: A Survey. CoRR Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
2017	J	`jnl`	Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2016	—	`conf`	A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Jakob Johnson, Sanjoy Dey, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra, György J. Simon
2016	J	`jnl`	Causal Inference in Observational Data. CoRR Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon
2016	J	`jnl`	Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2016	J	`jnl`	Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon
2015	Misc	`conf`	Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, György J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
2015	A*	`conf`	Forensic Style Analysis with Survival Trajectories. ICDM Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon
2015	Misc	`conf`	Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra
2015	—	`ch.`	Predictive Models for Integrating Clinical and Genomic Data. Healthcare Data Analytics Sanjoy Dey, Rohit Gupta, Michael S. Steinbach, Vipin Kumar
2014	—	`conf`	Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data. BCB Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar
2014	Misc	`conf`	Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
2014	A	`conf`	Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. SDM Gowtham Atluri, Michael S. Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar
2014	J	`jnl`	Identification of co-occurring insertions in cancer genomes using association analysis. Int. J. Data Min. Bioinform. Michael S. Steinbach, Sean Landman, Vipin Kumar, Haoyu Yu
2014	A	`conf`	Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar
2014	J	`jnl`	Theory-Guided Data Science for Climate Change. Computer James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova
2013	J	`jnl`	A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi
2013	Misc	`conf`	Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar
2013	—	`conf`	Detection of Precursors to Aviation Safety Incidents Due to Human Factors. ICDM Workshops Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee
2013	—	`ch.`	Earth Science Applications of Sensor Data. Managing and Mining Sensor Data Anuj Karpatne, James H. Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar, Stefan Liess
2013	—	`conf`	Evaluation of Label Dependency for the Prediction of HLA Genes. BCB Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar
2012	—	`conf`	A new data mining framework for forest fire mapping. CIDU Xi C. Chen, Anuj Karpatne, Yashu Chamber, Varun Mithal, Michael Lau, Karsten Steinhaeuser, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Teji Abraham, J. D. Stanley, Juan Carlos Castilla-Rubio
2012	—	`conf`	A pattern mining based integrative framework for biomarker discovery. BCB Sanjoy Dey, Kelvin O. Lim, Gowtham Atluri, Angus W. MacDonald III, Michael S. Steinbach, Vipin Kumar
2012	—	`conf`	Importance of vegetation type in forest cover estimation. CIDU Anuj Karpatne, Mace Blank, Michael Lau, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar
2012	—	`conf`	Invited: Discovering combinatorial biomarkers. ICCABS Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar
2012	J	`jnl`	Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. IEEE Trans. Knowl. Data Eng. Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar
2012	—	`conf`	Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. ICDM Workshops Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers
2011	—	`conf`	A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. CIDU Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael S. Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster
2011	—	`conf`	A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. CIDU Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah
2011	—	`conf`	Anomaly Construction in Climate Data: Issues and Challenges. CIDU Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar
2011	J	`jnl`	Characterizing Discriminative Patterns CoRR Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar
2011	—	`conf`	Data Guided Discovery of Dynamic Climate Dipoles. CIDU Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar
2011	A	`conf`	Discovering Dynamic Dipoles in Climate Data. SDM Jaya Kawale, Michael S. Steinbach, Vipin Kumar
2011	C	`conf`	Gopher: Global observation of Planetary Health and Ecosystem Resources. IGARSS Ashish Garg, Varun Mithal, Yashu Chamber, Ivan Brugere, Vijay Chaudhari, Marc Dunham, Vikrant Krishna, Sairam Krishnamurthy, Sruthi Vangala, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Albert Cho, J. D. Stanley, Teji Abraham, Juan Carlos Castilla-Rubio, Christopher Potter, Steven A. Klooster
2011	—	`conf`	Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. CIDU Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
2011	J	`jnl`	Monitoring global forest cover using data mining. ACM Trans. Intell. Syst. Technol. Varun Mithal, Ashish Garg, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio
2011	—	`conf`	Using Constraints to Generate and Explore Higher Order Discriminative Patterns. PAKDD (1) Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar
2010	—	`conf`	A Comparative Study Of Algorithms For Land Cover Change. CIDU Shyam Boriah, Varun Mithal, Ashish Garg, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
2010	—	`conf`	A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-century Global Warming Scenarios. CIDU Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar
2010	C	`conf`	Automated detection of forest cover changes. IGARSS Shyam Boriah, Varun Mithal, Ashish Garg, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio
2010	—	`conf`	Identification of co-occurring insertions in cancer genomes using association analysis. BIBM Workshops Michael S. Steinbach, Haoyu Yu, Vipin Kumar
2010	Misc	`conf`	Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
2009	A*	`conf`	An association analysis approach to biclustering. KDD Gaurav Pandey, Gowtham Atluri, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
2009	—	`conf`	Association Analysis Techniques for Bioinformatics Problems. BICoB Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
2009	—	`conf`	Association analysis techniques for analyzing complex biological data sets. GENSiPS Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar
2009	J	`jnl`	Characterizing pattern preserving clustering. Knowl. Inf. Syst. Hui Xiong, Michael S. Steinbach, Arifin Ruslim, Vipin Kumar
2009	—	`ch.`	Pattern Preserving Clustering. Encyclopedia of Data Warehousing and Mining Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou
2008	—	`ch.`	Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining. Next Generation of Data Mining Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008	A*	`conf`	Land cover change detection: a case study. KDD Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
2008	A*	`conf`	Quantitative evaluation of approximate frequent pattern mining algorithms. KDD Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar
2008	—	`conf`	Systematic Evaluation of Scaling Methods for Gene Expression Data. BIBM Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Michael S. Steinbach, Vipin Kumar
2008	J	`jnl`	Top 10 algorithms in data mining. Knowl. Inf. Syst. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
2007	A*	`conf`	Association analysis-based transformations for protein interaction networks: a function prediction case study. KDD Gaurav Pandey, Michael S. Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar
2007	J	`jnl`	Generalizing the notion of confidence. Knowl. Inf. Syst. Michael S. Steinbach, Vipin Kumar
2006	J	`jnl`	Enhancing Data Analysis with Noise Removal. IEEE Trans. Knowl. Data Eng. Hui Xiong, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
2006	J	`jnl`	Privacy leakage in multi-relational databases: a semi-supervised learning perspective. VLDB J. Hui Xiong, Michael S. Steinbach, Vipin Kumar
2005	A*	`conf`	Generalizing the Notion of Confidence. ICDM Michael S. Steinbach, Vipin Kumar
2005	—	`book`	Introduction to Data Mining Pang-Ning Tan, Michael S. Steinbach, Vipin Kumar
2005	A	`conf`	Privacy leakage in multi-relational databases via pattern based semi-supervised learning. CIKM Hui Xiong, Michael S. Steinbach, Vipin Kumar
2004	—	`ch.`	Data Mining. Handbook of Data Structures and Applications Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach
2004	A*	`conf`	Generalizing the notion of support. KDD Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
2004	A	`conf`	HICAP: Hierarchical Clustering with Pattern Preservation. SDM Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
2004	A*	`conf`	Support envelopes: a technique for exploring the structure of association patterns. KDD Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
2003	A*	`conf`	Discovery of climate indices using clustering. KDD Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter
2003	A	`conf`	Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. SDM Levent Ertöz, Michael S. Steinbach, Vipin Kumar
2003	—	`ch.`	Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach. Clustering and Information Retrieval Levent Ertöz, Michael S. Steinbach, Vipin Kumar
2002	—	`conf`	High Performance Data Mining. VECPAR Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael S. Steinbach