Michael S. Steinbach

发表

Causal Inference in Observational Data pdf

Lisiane Pruinelli, Bonnie L. Westra, Vipin Kumar, 2016, ArXiv.

Generalizing the notion of confidence

Vipin Kumar, Michael S. Steinbach, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time

Vipin Kumar, Michael S. Steinbach, Angus W. MacDonald, 2014, SDM.

Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data

Manish Gupta, Vipin Kumar, Michael S. Steinbach, 2012, IEEE Transactions on Knowledge and Data Engineering.

Data Mining

Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach, 2004, Handbook of Data Structures and Applications.

Importance of vegetation type in forest cover estimation

Michael Lau, Anuj Karpatne, Vipin Kumar, 2012, 2012 Conference on Intelligent Data Understanding.

Characterizing Discriminative Patterns pdf

Vipin Kumar, Michael S. Steinbach, Gang Fang, 2011, ArXiv.

Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records

Bonnie L. Westra, Vipin Kumar, Michael S. Steinbach, 2014, SDM.

Systematic Evaluation of Scaling Methods for Gene Expression Data

Vipin Kumar, Michael S. Steinbach, Gaurav Pandey, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach

Vipin Kumar, Michael S. Steinbach, Levent Ertöz, 2003, Clustering and Information Retrieval.

Pattern Preserving Clustering

Hui Xiong, Vipin Kumar, Pang-Ning Tan, 2009, Encyclopedia of Data Warehousing and Mining.

Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities

Lisiane Pruinelli, Bonnie L. Westra, Vipin Kumar, 2015, AMIA.

A pattern mining based integrative framework for biomarker discovery

Vipin Kumar, Michael S. Steinbach, Angus W. MacDonald, 2012, BCB.

Top 10 algorithms in data mining

Philip S. Yu, Xindong Wu, Qiang Yang, 2007, Knowledge and Information Systems.

A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases

Pedro J. Caraballo, Michael S. Steinbach, György J. Simon, 2019, American Medical Informatics Association Annual Symposium.

Association Analysis Techniques for Bioinformatics Problems

Vipin Kumar, Michael S. Steinbach, Gowtham Atluri, 2009, BICoB.

A graph‐based approach to find teleconnections in climate data

Nagiza F. Samatova, Vipin Kumar, Michael S. Steinbach, 2013, Stat. Anal. Data Min..

A Comparative Study Of Algorithms For Land Cover Change

Vipin Kumar, Michael S. Steinbach, Ashish Garg, 2010, CIDU.

Discovery of climate indices using clustering

Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach, 2003, KDD '03.

Invited: Discovering combinatorial biomarkers

Vipin Kumar, Michael S. Steinbach, Gowtham Atluri, 2012, 2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS).

Gopher: Global observation of Planetary Health and Ecosystem Resources

Vipin Kumar, Michael S. Steinbach, Ashish Garg, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies

Vipin Kumar, Michael S. Steinbach, Martin Maiers, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Association analysis techniques for analyzing complex biological data sets

Vipin Kumar, Michael S. Steinbach, Gowtham Atluri, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

A MODEL-FREE TIME SERIES SEGMENTATION APPROACH FOR LAND COVER CHANGE DETECTION

Vipin Kumar, Michael S. Steinbach, Ashish Garg, 2011, CIDU 2011.

Using Constraints to Generate and Explore Higher Order Discriminative Patterns

Vipin Kumar, Michael S. Steinbach, Gang Fang, 2011, PAKDD.

Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data

Vipin Kumar, Michael S. Steinbach, Abeer Madbouly, 2014, BCB.

Enhancing data analysis with noise removal

Hui Xiong, Vipin Kumar, Michael S. Steinbach, 2006, IEEE Transactions on Knowledge and Data Engineering.

An association analysis approach to biclustering

Vipin Kumar, Michael S. Steinbach, Gowtham Atluri, 2009, KDD.

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications

Lisiane Pruinelli, Bonnie L. Westra, Vipin Kumar, 2016, CRI.

Detection of Precursors to Aviation Safety Incidents Due to Human Factors

Jaideep Srivastava, Vipin Kumar, Pranjul Yadav, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Discovering Dynamic Dipoles in Climate Data

Vipin Kumar, Michael S. Steinbach, Jaya Kawale, 2011, SDM.

Automated detection of forest cover changes

Vipin Kumar, Michael S. Steinbach, Ashish Garg, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities

Lisiane Pruinelli, Bonnie L. Westra, Vipin Kumar, 2014, AMIA.

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2018, SDM.

Identification of co-occurring insertions in cancer genomes using association analysis

Vipin Kumar, Michael S. Steinbach, Sean R. Landman, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Privacy leakage in multi-relational databases via pattern based semi-supervised learning

Hui Xiong, Vipin Kumar, Michael S. Steinbach, 2005, CIKM '05.

HICAP: Hierarchical Clustering with Pattern Preservation

Hui Xiong, Vipin Kumar, Pang-Ning Tan, 2004, SDM.

A new data mining framework for forest fire mapping

Michael Lau, Vipin Kumar, Anuj Karpatne, 2012, 2012 Conference on Intelligent Data Understanding.

Support envelopes: a technique for exploring the structure of association patterns

Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach, 2004, KDD.

Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data

Vipin Kumar, Michael S. Steinbach, Levent Ertöz, 2003, SDM.

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

Nagiza F. Samatova, Shashi Shekhar, Anuj Karpatne, 2016, IEEE Transactions on Knowledge and Data Engineering.

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

Vipin Kumar, Michael S. Steinbach, Auroop R. Ganguly, 2010, CIDU.

Generalizing the Notion of Confidence

Vipin Kumar, Michael S. Steinbach, 2005, ICDM.

Earth Science Applications of Sensor Data

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2013, Managing and Mining Sensor Data.

Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care

Bonnie L. Westra, Vipin Kumar, Michael S. Steinbach, 2013, AMIA.

Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach

Bonnie L. Westra, Vipin Kumar, Pranjul Yadav, 2015, American Medical Informatics Association Annual Symposium.

Characterizing pattern preserving clustering

Hui Xiong, Vipin Kumar, Michael S. Steinbach, 2008, Knowledge and Information Systems.

Evaluation of Label Dependency for the Prediction of HLA Genes

Vipin Kumar, Michael S. Steinbach, Abeer Madbouly, 2013, BCB.

High Performance Data Mining

Vipin Kumar, Pang-Ning Tan, Mahesh V. Joshi, 1999, VECPAR.

Subspace Differential Coexpression Analysis: Problem Definition and a General Approach

Vipin Kumar, Michael S. Steinbach, Gang Fang, 2010, Pacific Symposium on Biocomputing.

Land cover change detection: a case study

Vipin Kumar, Michael S. Steinbach, Christopher Potter, 2008, KDD.

Privacy leakage in multi-relational databases: a semi-supervised learning perspective

Hui Xiong, Vipin Kumar, Michael S. Steinbach, 2006, The VLDB Journal.

Mining Electronic Health Records: A Survey pdf

Vipin Kumar, Pranjul Yadav, Michael S. Steinbach, 2017, ArXiv.

Predictive Models for Integrating Clinical and Genomic Data

Vipin Kumar, Michael S. Steinbach, Sanjoy Dey, 2015, Healthcare Data Analytics.

Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks

Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, 2019, MedInfo.

Mining Electronic Health Records: A Survey

Vipin Kumar, Pranjul Yadav, Michael S. Steinbach, 2017, 1702.03222.

Quantitative evaluation of approximate frequent pattern mining algorithms

Vipin Kumar, Michael S. Steinbach, Gang Fang, 2008, KDD.

Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes pdf

Anuj Karpatne, Vipin Kumar, Michael S. Steinbach, 2018, ArXiv.

Association analysis-based transformations for protein interaction networks: a function prediction case study

Vipin Kumar, Michael S. Steinbach, Tushar Garg, 2007, KDD '07.

Generalizing the notion of support

Hui Xiong, Vipin Kumar, Pang-Ning Tan, 2004, KDD.

Theory-Guided Data Science for Climate Change

Nagiza F. Samatova, Shashi Shekhar, Vipin Kumar, 2014, Computer.

Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks

Vipin Kumar, Snigdhansu Chatterjee, Michael S. Steinbach, 2018, IEEE Transactions on Knowledge and Data Engineering.

Monitoring global forest cover using data mining

Vipin Kumar, Michael S. Steinbach, Ashish Garg, 2011, TIST.

Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks

Michael S. Steinbach, Jordan S. Read, Alison P. Appling, 2021, SDM.

A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data

Pedro J. Caraballo, Michael S. Steinbach, György J. Simon, 2021, IEEE Journal of Biomedical and Health Informatics.

Neurodevelopmental heterogeneity and computational approaches for understanding autism

Michael S. Steinbach, Jed T. Elison, Suma Jacob, 2019, Translational Psychiatry.

Identification of co-occurring insertions in cancer genomes using association analysis

Michael S. Steinbach, Haoyu Yu, Vipin Kumar, 2010, BIBM Workshops.