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Michael S. Steinbach

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affiliation: University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA

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Books and Theses

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2019
[b2]
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Pang-Ning Tan, Michael S. Steinbach, Anuj Karpatne, Vipin Kumar:
Introduction to Data Mining (Second Edition). Pearson 2019
2005
[b1]
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Pang-Ning Tan, Michael S. Steinbach, Vipin Kumar:
Introduction to Data Mining. Addison-Wesley 2005, ISBN 0-321-32136-7

Journal Articles

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2023
[j20]
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Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar:
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Comput. Surv. 55(4): 66:1-66:37 (2023)
2021
[j19]
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Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon:
Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. 29(1): 72-79 (2021)
[j18]
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Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. 2(3): 20:1-20:26 (2021)
[j17]
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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:
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11(2): 11:1-11:49 (2021)
[j16]
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Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon:
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics 25(7): 2476-2486 (2021)
2020
[j15]
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György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo:
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. 20(1): 6 (2020)
[j14]
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Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar:
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Trans. Knowl. Data Eng. 32(9): 1798-1811 (2020)
2018
[j13]
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Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. 50(6): 85:1-85:40 (2018)
2017
[j12]
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Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar:
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. 29(10): 2318-2331 (2017)
2016
[j11]
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Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data 4(1): 25-30 (2016)
2014
[j10]
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James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova:
Theory-Guided Data Science for Climate Change. Computer 47(11): 74-78 (2014)
[j9]
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Michael S. Steinbach, Sean Landman, Vipin Kumar, Haoyu Yu:
Identification of co-occurring insertions in cancer genomes using association analysis. Int. J. Data Min. Bioinform. 10(1): 65-82 (2014)
2013
[j8]
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Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi:
A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. 6(3): 158-179 (2013)
2012
[j7]
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Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar:
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 24(2): 279-294 (2012)
2011
[j6]
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Varun Mithal, Ashish Garg, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio:
Monitoring global forest cover using data mining. ACM Trans. Intell. Syst. Technol. 2(4): 36:1-36:24 (2011)
2009
[j5]
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Hui Xiong, Michael S. Steinbach, Arifin Ruslim, Vipin Kumar:
Characterizing pattern preserving clustering. Knowl. Inf. Syst. 19(3): 311-336 (2009)
2008
[j4]
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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:
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008)
2007
[j3]
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Michael S. Steinbach, Vipin Kumar:
Generalizing the notion of confidence. Knowl. Inf. Syst. 12(3): 279-299 (2007)
2006
[j2]
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Hui Xiong, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar:
Enhancing Data Analysis with Noise Removal. IEEE Trans. Knowl. Data Eng. 18(2): 304-319 (2006)
[j1]
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Hui Xiong, Michael S. Steinbach, Vipin Kumar:
Privacy leakage in multi-relational databases: a semi-supervised learning perspective. VLDB J. 15(4): 388-402 (2006)

Conference and Workshop Papers

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2023
[c54]
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Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI 2023: 1-11
[c53]
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  - conf/sdm/XuKLJLWGCSDN023
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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:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM 2023: 649-657
2021
[c52]
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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:
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM 2021: 612-620
2020
[c51]
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Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS 2020: 3494-3496
2019
[c50]
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Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon:
A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA 2019
[c49]
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Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon:
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData 2019: 1981-1990
[c48]
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Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon:
Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo 2019: 288-292
[c47]
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Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar:
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM 2019: 558-566
2018
[c46]
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Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. ICBK 2018: 415-422
2017
[c45]
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Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon:
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI 2017: 374-379
2016
[c44]
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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:
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI 2016
2015
[c43]
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Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra:
Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA 2015
[c42]
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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:
Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA 2015
[c41]
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Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon:
Forensic Style Analysis with Survival Trajectories. ICDM 2015: 1069-1074
2014
[c40]
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Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra:
Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA 2014
[c39]
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Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar:
Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data. BCB 2014: 104-113
[c38]
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Gowtham Atluri, Michael S. Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar:
Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. SDM 2014: 1001-1009
[c37]
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Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar:
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM 2014: 1055-1063
2013
[c36]
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Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar:
Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA 2013
[c35]
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Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar:
Evaluation of Label Dependency for the Prediction of HLA Genes. BCB 2013: 296
[c34]
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Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee:
Detection of Precursors to Aviation Safety Incidents Due to Human Factors. ICDM Workshops 2013: 407-412
2012
[c33]
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Sanjoy Dey, Kelvin O. Lim, Gowtham Atluri, Angus W. MacDonald III, Michael S. Steinbach, Vipin Kumar:
A pattern mining based integrative framework for biomarker discovery. BCB 2012: 498-505
[c32]
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  - conf/cidu/KarpatneBLBSSK12
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Anuj Karpatne, Mace Blank, Michael Lau, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar:
Importance of vegetation type in forest cover estimation. CIDU 2012: 71-78
[c31]
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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:
A new data mining framework for forest fire mapping. CIDU 2012: 104-111
[c30]
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Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar:
Invited: Discovering combinatorial biomarkers. ICCABS 2012: 1-2
[c29]
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Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers:
Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. ICDM Workshops 2012: 964-971
2011
[c28]
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Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar:
Data Guided Discovery of Dynamic Climate Dipoles. CIDU 2011: 30-44
[c27]
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Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. CIDU 2011: 45-59
[c26]
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Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael S. Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster:
A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. CIDU 2011: 144-158
[c25]
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Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar:
Anomaly Construction in Climate Data: Issues and Challenges. CIDU 2011: 189-203
[c24]
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Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah:
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. CIDU 2011: 248-262
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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:
Gopher: Global observation of Planetary Health and Ecosystem Resources. IGARSS 2011: 1449-1452
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Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar:
Using Constraints to Generate and Explore Higher Order Discriminative Patterns. PAKDD (1) 2011: 338-350
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Jaya Kawale, Michael S. Steinbach, Vipin Kumar:
Discovering Dynamic Dipoles in Climate Data. SDM 2011: 107-118
2010
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Michael S. Steinbach, Haoyu Yu, Vipin Kumar:
Identification of co-occurring insertions in cancer genomes using association analysis. BIBM Workshops 2010: 494-499
[c19]
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Shyam Boriah, Varun Mithal, Ashish Garg, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
A Comparative Study Of Algorithms For Land Cover Change. CIDU 2010: 175-188
[c18]
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Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar:
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 2010: 204-212
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Shyam Boriah, Varun Mithal, Ashish Garg, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio:
Automated detection of forest cover changes. IGARSS 2010: 44-47
[c16]
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Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar:
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing 2010: 145-156
2009
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Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar:
Association Analysis Techniques for Bioinformatics Problems. BICoB 2009: 1-13
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Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar:
Association analysis techniques for analyzing complex biological data sets. GENSiPS 2009: 1-4
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Gaurav Pandey, Gowtham Atluri, Michael S. Steinbach, Chad L. Myers, Vipin Kumar:
An association analysis approach to biclustering. KDD 2009: 677-686
2008
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Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Michael S. Steinbach, Vipin Kumar:
Systematic Evaluation of Scaling Methods for Gene Expression Data. BIBM 2008: 376-381
[c11]
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Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar:
Quantitative evaluation of approximate frequent pattern mining algorithms. KDD 2008: 301-309
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Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
Land cover change detection: a case study. KDD 2008: 857-865
2007
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Gaurav Pandey, Michael S. Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar:
Association analysis-based transformations for protein interaction networks: a function prediction case study. KDD 2007: 540-549
2005
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Hui Xiong, Michael S. Steinbach, Vipin Kumar:
Privacy leakage in multi-relational databases via pattern based semi-supervised learning. CIKM 2005: 355-356
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Michael S. Steinbach, Vipin Kumar:
Generalizing the Notion of Confidence. ICDM 2005: 402-409
2004
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Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar:
Support envelopes: a technique for exploring the structure of association patterns. KDD 2004: 296-305
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Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar:
Generalizing the notion of support. KDD 2004: 689-694
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Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar:
HICAP: Hierarchical Clustering with Pattern Preservation. SDM 2004: 279-290
2003
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Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter:
Discovery of climate indices using clustering. KDD 2003: 446-455
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Levent Ertöz, Michael S. Steinbach, Vipin Kumar:
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. SDM 2003: 47-58
2002
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Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael S. Steinbach:
High Performance Data Mining. VECPAR 2002: 111-125

Parts in Books or Collections

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2015
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Sanjoy Dey, Rohit Gupta, Michael S. Steinbach, Vipin Kumar:
Predictive Models for Integrating Clinical and Genomic Data. Healthcare Data Analytics 2015: 433-465
2013
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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, Stefan Liess:
Earth Science Applications of Sensor Data. Managing and Mining Sensor Data 2013: 505-530
2008
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Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Pang-Ning Tan, Christopher Potter, Steven A. Klooster:
Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining. Next Generation of Data Mining 2008
2003
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Levent Ertöz, Michael S. Steinbach, Vipin Kumar:
Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach. Clustering and Information Retrieval 2003: 83-104

Reference Works

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2009
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Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou:
Pattern Preserving Clustering. Encyclopedia of Data Warehousing and Mining 2009: 1505-1510
2004
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Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach:
Data Mining. Handbook of Data Structures and Applications 2004

Informal and Other Publications

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2022
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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:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR abs/2210.08347 (2022)
[i13]
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Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Vipin Kumar:
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. CoRR abs/2211.08573 (2022)
2020
[i12]
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Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar:
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR abs/2001.11086 (2020)
[i11]
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Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar:
Integrating Physics-Based Modeling with Machine Learning: A Survey. CoRR abs/2003.04919 (2020)
[i10]
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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:
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR abs/2009.12575 (2020)
[i9]
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Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Teaching deep learning causal effects improves predictive performance. CoRR abs/2011.05466 (2020)
[i8]
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Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Physics Guided Machine Learning Methods for Hydrology. CoRR abs/2012.02854 (2020)
2018
[i7]
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Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar:
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. CoRR abs/1810.02880 (2018)
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Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar:
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. CoRR abs/1810.02950 (2018)
[i5]
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Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar:
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR abs/1810.13075 (2018)
2017
[i4]
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Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Mining Electronic Health Records: A Survey. CoRR abs/1702.03222 (2017)
2016
[i3]
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Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon:
Causal Inference in Observational Data. CoRR abs/1611.04660 (2016)
[i2]
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Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar:
Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR abs/1612.08544 (2016)
2011
[i1]
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Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar:
Characterizing Discriminative Patterns. CoRR abs/1102.4104 (2011)

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