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个人简介
Michael 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 research associate in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. Previously, he held a variety of software engineering, analysis, and design positions in industry at Silicon Biology, Racotek, and NCR. His research interests are in the area of data mining, bioinformatics, and statistics. He has authored over 20 research articles, and is a co-author of the data mining textbook, Introduction to Data Mining, published by Addison-Wesley. He is a member of the IEEE Computer Society and the ACM.
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论文共 221 篇作者统计合作学者相似作者
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Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)pp.334-342, (2024)
ACM COMPUTING SURVEYSno. 4 (2023): 1-37
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Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon,Michael Steinbach, Daniel Giron,Mai H. Nguyen,Vipin Kumar
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) (2023): 589-597
Haoyu Yang,Roshan Tourani, Jia Li,Pedro J. Caraballo,Michael S. Steinbach,Vipin Kumar,György J. Simon
2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)pp.1-11, (2023)
Casey Dorr, Callie Janik,Madison Weg, Raha A. Been, Justin Bader, Ryan Kang,Brandon Ng, Lindsey Foran,Sean R. Landman, M. Gerard O'Sullivan,Michael Steinbach,Aaron L. Sarver,
crossref(2023)
WATER RESOURCES RESEARCHno. 8 (2022)
Chapman and Hall/CRC eBookspp.373-398, (2022)
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Edward Elgar Publishing eBookspp.272-286, (2022)
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