Michael Steinbach's Home Page

Dr. Steinbach earned his B.S. degree in Mathematics, a M.S. degree in Statistics, and M.S. and Ph.D. degrees in Computer Science from the University of Minnesota. He is currently a researcher in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities working in the research group of Prof. Vipin Kumar.  His research interests are in the area of data mining, machine learning, biomedical informatics, and statistics.  Dr. Steinbach is a co-author of the data mining textbook, Introduction to Data Mining, published by Addison-Wesley, which is used world-wide and has been translated into many languages.
Previously, he held a variety of software engineering, analysis, and design positions in industry at Silicon Biology, Racotek, and NCR.

• Serve on Program Committees of various, conferences: KDD, ICDM, SDM, AMIA, and others
• Reviewer for Various Journals: TKDD, TKDE, DMKD, and others
• Serve as reviewer for book proposals 

Curent Projects

• NSF Harnessing the Data Revolution: Knowledge Guided Machine Learning
  
• NSF BIGDATA : Advancing Deep Learning to Monitor Global Change    see this article for more information
• NSF Smart and Connected Health
• Innovative Methods for Real-Time Risk Modeling of Postoperative Complications

Recently Completed Projects

• NSF Expedition in Computing : Understanding Climate Change - A Data Driven Approach
See NSF news item that highlights this project.

Introduction to Data Mining, second edition 

Software Packages

Code for visualizing and finding support envelopes, which capture the overall structure of  the association patterns in a transaction data set