High Performance Data Mining. - Vipin Kumar 001; Mahesh V. Joshi; Eui-Hong Han; Pang-Ning Tan; Michael S. Steinbach (VECPAR, 2002)

Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach. - Levent Ertöz; Michael S. Steinbach; Vipin Kumar 001 (Clustering and Information Retrieval, 2003)

Discovery of climate indices using clustering. - Michael S. Steinbach; Pang-Ning Tan; Vipin Kumar 001; Steven A. Klooster; Christopher Potter (KDD, 2003)

Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. - Levent Ertöz; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2003)

Support envelopes: a technique for exploring the structure of association patterns. - Michael S. Steinbach; Pang-Ning Tan; Vipin Kumar 001 (KDD, 2004)

Generalizing the notion of support. - Michael S. Steinbach; Pang-Ning Tan; Hui Xiong 001; Vipin Kumar 001 (KDD, 2004)

HICAP: Hierarchical Clustering with Pattern Preservation. - Hui Xiong 001; Michael S. Steinbach; Pang-Ning Tan; Vipin Kumar 001 (SDM, 2004)

Data Mining. - Vipin Kumar 001; Pang-Ning Tan; Michael S. Steinbach (Handbook of Data Structures and Applications, 2004)

Introduction to Data Mining - Pang-Ning Tan; Michael S. Steinbach; Vipin Kumar 001 (Addison-Wesley, 2005)

Privacy leakage in multi-relational databases via pattern based semi-supervised learning. - Hui Xiong 001; Michael S. Steinbach; Vipin Kumar 001 (CIKM, 2005)

Enhancing Data Analysis with Noise Removal. - Hui Xiong 001; Gaurav Pandey 002; Michael S. Steinbach; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2006)

Privacy leakage in multi-relational databases: a semi-supervised learning perspective. - Hui Xiong 001; Michael S. Steinbach; Vipin Kumar 001 (VLDB J., 2006)

Association analysis-based transformations for protein interaction networks: a function prediction case study. - Gaurav Pandey 002; Michael S. Steinbach; Rohit Gupta 003; Tushar Garg; Vipin Kumar 001 (KDD, 2007)

Generalizing the notion of confidence. - Michael S. Steinbach; Vipin Kumar 001 (Knowl. Inf. Syst., 2007)

Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining. - Shyam Boriah; Vipin Kumar 001; Michael S. Steinbach; Pang-Ning Tan; Christopher Potter; Steven A. Klooster (Next Generation of Data Mining, 2008)

Systematic Evaluation of Scaling Methods for Gene Expression Data. - Gaurav Pandey 002; Lakshmi Naarayanan Ramakrishnan; Michael S. Steinbach; Vipin Kumar 001 (BIBM, 2008)

Land cover change detection: a case study. - Shyam Boriah; Vipin Kumar 001; Michael S. Steinbach; Christopher Potter; Steven A. Klooster (KDD, 2008)

Quantitative evaluation of approximate frequent pattern mining algorithms. - Rohit Gupta 003; Gang Fang; Blayne Field; Michael S. Steinbach; Vipin Kumar 001 (KDD, 2008)

Top 10 algorithms in data mining. - Xindong Wu 001; Vipin Kumar 001; J. Ross Quinlan; Joydeep Ghosh; Qiang Yang 001; Hiroshi Motoda; Geoffrey J. McLachlan; Angus F. M. Ng; Bing Liu 001; Philip S. Yu; Zhi-Hua Zhou; Michael S. Steinbach; et al. (Knowl. Inf. Syst., 2008)

Association Analysis Techniques for Bioinformatics Problems. - Gowtham Atluri; Rohit Gupta 003; Gang Fang; Gaurav Pandey 002; Michael S. Steinbach; Vipin Kumar 001 (BICoB, 2009)

Association analysis techniques for analyzing complex biological data sets. - Gaurav Pandey 002; Gowtham Atluri; Gang Fang; Rohit Gupta 003; Michael S. Steinbach; Vipin Kumar 001 (GENSiPS, 2009)

An association analysis approach to biclustering. - Gaurav Pandey 002; Gowtham Atluri; Michael S. Steinbach; Chad L. Myers; Vipin Kumar 001 (KDD, 2009)

Characterizing pattern preserving clustering. - Hui Xiong 001; Michael S. Steinbach; Arifin Ruslim; Vipin Kumar 001 (Knowl. Inf. Syst., 2009)

Pattern Preserving Clustering. - Hui Xiong 001; Michael S. Steinbach; Pang-Ning Tan; Vipin Kumar 001; Wenjun Zhou 001 (Encyclopedia of Data Warehousing and Mining, 2009)

Identification of co-occurring insertions in cancer genomes using association analysis. - Michael S. Steinbach; Haoyu Yu; Vipin Kumar 001 (BIBM Workshops, 2010)

A Comparative Study Of Algorithms For Land Cover Change. - Shyam Boriah; Varun Mithal; Ashish Garg 001; Vipin Kumar 001; Michael S. Steinbach; Christopher Potter; Steven A. Klooster (CIDU, 2010)

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. - Caitlin Race; Michael S. Steinbach; Auroop R. Ganguly; Fredrick H. M. Semazzi; Vipin Kumar 001 (CIDU, 2010)

Automated detection of forest cover changes. - Shyam Boriah; Varun Mithal; Ashish Garg 001; Michael S. Steinbach; Vipin Kumar 001; Christopher Potter; Steven A. Klooster; Juan Carlos Castilla-Rubio (IGARSS, 2010)

Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. - Gang Fang; Rui Kuang; Gaurav Pandey 002; Michael S. Steinbach; Chad L. Myers; Vipin Kumar 001 (Pacific Symposium on Biocomputing, 2010)

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. - Yashu Chamber; Ashish Garg 001; Varun Mithal; Ivan Brugere; Vipin Kumar 001; Michael Lau; Michael S. Steinbach; Christopher Potter; Steven A. Klooster; Vikrant Krishna; Shyam Boriah (CIDU, 2011)

A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. - Ashish Garg 001; Lydia Manikonda; Shashank Kumar; Vikrant Krishna; Shyam Boriah; Michael S. Steinbach; Durga Toshnival; Vipin Kumar 001; Christopher Potter; Steven A. Klooster (CIDU, 2011)

Anomaly Construction in Climate Data: Issues and Challenges. - Jaya Kawale; Snigdhansu Chatterjee; Arjun Kumar; Stefan Liess; Michael S. Steinbach; Vipin Kumar 001 (CIDU, 2011)

Data Guided Discovery of Dynamic Climate Dipoles. - Jaya Kawale; Stefan Liess; Arjun Kumar; Michael S. Steinbach; Auroop R. Ganguly; Nagiza F. Samatova; Fredrick H. M. Semazzi; Peter K. Snyder; Vipin Kumar 001 (CIDU, 2011)

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. - Varun Mithal; Ashish Garg 001; Ivan Brugere; Shyam Boriah; Vipin Kumar 001; Michael S. Steinbach; Christopher Potter; Steven A. Klooster (CIDU, 2011)

Gopher: Global observation of Planetary Health and Ecosystem Resources. - Ashish Garg 001; Varun Mithal; Yashu Chamber; Ivan Brugere; Vijay Chaudhari; Marc Dunham; Vikrant Krishna; Sairam Krishnamurthy; Sruthi Vangala; Shyam Boriah; Michael S. Steinbach; Vipin Kumar 001; et al. (IGARSS, 2011)

Using Constraints to Generate and Explore Higher Order Discriminative Patterns. - Michael S. Steinbach; Haoyu Yu; Gang Fang; Vipin Kumar 001 (PAKDD (1), 2011)

Discovering Dynamic Dipoles in Climate Data. - Jaya Kawale; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2011)

Characterizing Discriminative Patterns - Gang Fang; Wen Wang 002; Benjamin Oatley; Brian Van Ness; Michael S. Steinbach; Vipin Kumar 001 (CoRR, 2011)

Monitoring global forest cover using data mining. - Varun Mithal; Ashish Garg 001; Shyam Boriah; Michael S. Steinbach; Vipin Kumar 001; Christopher Potter; Steven A. Klooster; Juan Carlos Castilla-Rubio (ACM Trans. Intell. Syst. Technol., 2011)

A pattern mining based integrative framework for biomarker discovery. - Sanjoy Dey; Kelvin O. Lim; Gowtham Atluri; Angus W. MacDonald III; Michael S. Steinbach; Vipin Kumar 001 (BCB, 2012)

A new data mining framework for forest fire mapping. - Xi C. Chen; Anuj Karpatne; Yashu Chamber; Varun Mithal; Michael Lau; Karsten Steinhaeuser; Shyam Boriah; Michael S. Steinbach; Vipin Kumar 001; Christopher Potter; Steven A. Klooster; Teji Abraham; et al. (CIDU, 2012)

Importance of vegetation type in forest cover estimation. - Anuj Karpatne; Mace Blank; Michael Lau; Shyam Boriah; Karsten Steinhaeuser; Michael S. Steinbach; Vipin Kumar 001 (CIDU, 2012)

Invited: Discovering combinatorial biomarkers. - Gowtham Atluri; Sanjoy Dey; Gang Fang; Sean Landman; Vanja Paunic; Wen Wang 002; Michael S. Steinbach; Vipin Kumar 001 (ICCABS, 2012)

Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. - Vanja Paunic; Michael S. Steinbach; Vipin Kumar 001; Martin Maiers (ICDM Workshops, 2012)

Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. - Gang Fang; Gaurav Pandey 002; Wen Wang 002; Manish Gupta; Michael S. Steinbach; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2012)

Earth Science Applications of Sensor Data. - Anuj Karpatne; James H. Faghmous; Jaya Kawale; Luke Styles; Mace Blank; Varun Mithal; Xi C. Chen; Ankush Khandelwal; Shyam Boriah; Karsten Steinhaeuser; Michael S. Steinbach; Vipin Kumar 001; et al. (Managing and Mining Sensor Data, 2013)

Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. - Sanjoy Dey; Jeremy Weed; Joanna Fakhoury; Jacob Cooner; György J. Simon; Michael S. Steinbach; Bonnie L. Westra; Vipin Kumar 001 (AMIA, 2013)

Evaluation of Label Dependency for the Prediction of HLA Genes. - Vanja Paunic; Michael S. Steinbach; Abeer Madbouly; Vipin Kumar 001 (BCB, 2013)

Detection of Precursors to Aviation Safety Incidents Due to Human Factors. - Igor Melnyk; Pranjul Yadav; Michael S. Steinbach; Jaideep Srivastava; Vipin Kumar 001; Arindam Banerjee 001 (ICDM Workshops, 2013)

A graph-based approach to find teleconnections in climate data. - Jaya Kawale; Stefan Liess; Arjun Kumar; Michael S. Steinbach; Peter K. Snyder; Vipin Kumar 001; Auroop R. Ganguly; Nagiza F. Samatova; Fredrick H. M. Semazzi (Stat. Anal. Data Min., 2013)

Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. - Lisiane Pruinelli; Sanjoy Dey; György J. Simon; Pranjul Yadav; Andrew Hangsleben; Katherine Hauwiller; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 2014)

Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data. - Vanja Paunic; Michael S. Steinbach; Abeer Madbouly; Vipin Kumar 001 (BCB, 2014)

Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. - Gowtham Atluri; Michael S. Steinbach; Kelvin O. Lim; Angus W. MacDonald III; Vipin Kumar 001 (SDM, 2014)

Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. - Sanjoy Dey; György J. Simon; Bonnie L. Westra; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2014)

Theory-Guided Data Science for Climate Change. - James H. Faghmous; Arindam Banerjee 001; Shashi Shekhar 001; Michael S. Steinbach; Vipin Kumar 001; Auroop R. Ganguly; Nagiza F. Samatova (Computer, 2014)

Identification of co-occurring insertions in cancer genomes using association analysis. - Michael S. Steinbach; Sean Landman; Vipin Kumar 001; Haoyu Yu (Int. J. Data Min. Bioinform., 2014)

Predictive Models for Integrating Clinical and Genomic Data. - Sanjoy Dey; Rohit Gupta 003; Michael S. Steinbach; Vipin Kumar 001 (Healthcare Data Analytics, 2015)

Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. - Sanjoy Dey; Katherine Hauwiller; Pranjul Yadav; Michael S. Steinbach; György J. Simon; Vipin Kumar 001; Connie White-Delaney; Bonnie L. Westra (AMIA, 2015)

Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. - Lisiane Pruinelli; Pranjul Yadav; Andrew Hangsleben; Kevin Schiroo; Sanjoy Dey; György J. Simon; Maribet C. McCarty; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra (AMIA, 2015)

Forensic Style Analysis with Survival Trajectories. - Pranjul Yadav; Michael S. Steinbach; Lisiane Pruinelli; Bonnie L. Westra; Connie Delaney; Vipin Kumar 001; György J. Simon (ICDM, 2015)

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. - Lisiane Pruinelli; Pranjul Yadav; Andrew Hangsleben; Jakob Johnson; Sanjoy Dey; Maribet C. McCarty; Vipin Kumar 001; Connie White-Delaney; Michael S. Steinbach; Bonnie L. Westra; György J. Simon (CRI, 2016)

Type 2 Diabetes Mellitus Trajectories and Associated Risks. - Wonsuk Oh; Era Kim; M. Regina Castro; Pedro J. Caraballo; Vipin Kumar 001; Michael S. Steinbach; György J. Simon (Big Data, 2016)

Theory-guided Data Science: A New Paradigm for Scientific Discovery. - Anuj Karpatne; Gowtham Atluri; James H. Faghmous; Michael S. Steinbach; Arindam Banerjee 001; Auroop R. Ganguly; Shashi Shekhar 001; Nagiza F. Samatova; Vipin Kumar 001 (CoRR, 2016)

Causal Inference in Observational Data. - Pranjul Yadav; Lisiane Pruinelli; Alexander Hoff; Michael S. Steinbach; Bonnie L. Westra; Vipin Kumar 001; György J. Simon (CoRR, 2016)

Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. - Wonsuk Oh; Pranjul Yadav; Vipin Kumar 001; Pedro J. Caraballo; M. Regina Castro; Michael S. Steinbach; György J. Simon (ICHI, 2017)

Mining Electronic Health Records: A Survey. - Pranjul Yadav; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (CoRR, 2017)

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. - Anuj Karpatne; Gowtham Atluri; James H. Faghmous; Michael S. Steinbach; Arindam Banerjee 001; Auroop R. Ganguly; Shashi Shekhar 001; Nagiza F. Samatova; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2017)

Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. - Jia Li; Mengdie Wang; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ICBK, 2018)

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. - Xiaowei Jia; Anuj Karpatne; Jared Willard; Michael S. Steinbach; Jordan S. Read; Paul C. Hanson; Hilary A. Dugan; Vipin Kumar 001 (CoRR, 2018)

Mining Electronic Health Records (EHRs): A Survey. - Pranjul Yadav; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ACM Comput. Surv., 2018)

Introduction to Data Mining (Second Edition) - Pang-Ning Tan; Michael S. Steinbach; Anuj Karpatne; Vipin Kumar 001 (Pearson, 2019)

A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. - Che Ngufor; Pedro J. Caraballo; Thomas J. O'Byrne; David Chen 003; Nilay D. Shah; Michael S. Steinbach; György J. Simon (AMIA, 2019)

Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. - Pranjul Yadav; Michael S. Steinbach; M. Regina Castro; Pedro J. Caraballo; Vipin Kumar 001; György J. Simon (IEEE BigData, 2019)

Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. - Wonsuk Oh; Michael S. Steinbach; M. Regina Castro; Kevin A. Peterson; Vipin Kumar 001; Pedro J. Caraballo; György J. Simon (MedInfo, 2019)

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob Zwart; Michael S. Steinbach; Vipin Kumar 001 (SDM, 2019)

Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (IGARSS, 2020)

Integrating Physics-Based Modeling with Machine Learning: A Survey. - Jared Willard; Xiaowei Jia; Shaoming Xu; Michael S. Steinbach; Vipin Kumar 001 (CoRR, 2020)

Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. - 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 001 (CoRR, 2020)

Teaching deep learning causal effects improves predictive performance. - Jia Li; Xiaowei Jia; Haoyu Yang; Vipin Kumar 001; Michael S. Steinbach; György J. Simon (CoRR, 2020)

Physics Guided Machine Learning Methods for Hydrology. - Ankush Khandelwal; Shaoming Xu; Xiang Li; Xiaowei Jia; Michael S. Steinbach; Christopher J. Duffy; John Nieber; Vipin Kumar 001 (CoRR, 2020)

Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. - György J. Simon; Kevin A. Peterson; M. Regina Castro; Michael S. Steinbach; Vipin Kumar 001; Pedro J. Caraballo (BMC Medical Informatics Decis. Mak., 2020)

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. - Saurabh Agrawal 002; Michael S. Steinbach; Daniel Boley; Snigdhansu Chatterjee; Gowtham Atluri; Anh The Dang; Stefan Liess; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2020)

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. - 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 001 (SDM, 2021)

Strategies for building robust prediction models using data unavailable at prediction time. - Haoyu Yang; Roshan Tourani; Ying Zhu; Vipin Kumar 001; Genevieve B. Melton; Michael S. Steinbach; György J. Simon (J. Am. Medical Informatics Assoc., 2021)

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. - Xiaowei Jia; Jared Willard; Anuj Karpatne; Jordan S. Read; Jacob A. Zwart; Michael S. Steinbach; Vipin Kumar 001 (Trans. Data Sci., 2021)

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. - Yolanda Gil; Daniel Garijo; Deborah Khider; Craig A. Knoblock; Varun Ratnakar; Maximiliano Osorio; Hernán Vargas; Minh Pham 004; Jay Pujara; Basel Shbita; Binh Vu; Yao-Yi Chiang; et al. (ACM Trans. Interact. Intell. Syst., 2021)

A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. - Wonsuk Oh; Michael S. Steinbach; M. Regina Castro; Kevin A. Peterson; Vipin Kumar 001; Pedro J. Caraballo; György J. Simon (IEEE J. Biomed. Health Informatics, 2021)

Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. - Jia Li; Xiang Li; Xiaowei Jia; Michael S. Steinbach; Vipin Kumar 001 (CoRR, 2022)

Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. - Haoyu Yang; Roshan Tourani; Jia Li; Pedro J. Caraballo; Michael S. Steinbach; Vipin Kumar 001; György J. Simon (ICHI, 2023)

Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. - 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 001 (SDM, 2023)

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. - Jared Willard; Xiaowei Jia; Shaoming Xu; Michael S. Steinbach; Vipin Kumar 001 (ACM Comput. Surv., 2023)

Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. - Somya Sharma Chatterjee; Kelly Lindsay; Neel Chatterjee; Rohan Patil; Ilkay Altintas De Callafon; Michael S. Steinbach; Daniel Giron; Mai H. Nguyen; Vipin Kumar 001 (SDM, 2024)

Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. - Rahul Ghosh; Arvind Renganathan; Wallace McAliley; Michael S. Steinbach; Christopher J. Duffy; Vipin Kumar 001 (SDM, 2024)

Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. - Rahul Ghosh; Zac McEachran; Arvind Renganathan; Kelly Lindsay; Somya Sharma Chatterjee; Michael S. Steinbach; John Nieber; Christopher J. Duffy; Vipin Kumar 001 (CoRR, 2024)

Combining self-supervision and privileged information for representation learning from tabular data. - Haoyu Yang; Michael S. Steinbach; Genevieve B. Melton; Vipin Kumar 001; György J. Simon (Knowl. Inf. Syst., 2025)