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Feb 14, 2018 Introduction to Data Mining (Second Edition) Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota Anuj Karpatne, University of Minnesota Vipin Kumar, University of Provides both theoretical and practical coverage of all data mining topics.

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Apr 13, 2018 Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Authors: Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Anuj Karpatne. Categories: Computers. Type: BOOK Published: 2019-03-04 Publisher

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Data mining Responsibility: Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota, Anuj Karpatne, University of Minnesota, Vipin Kumar, University of Minnesota.

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Familiarity with underlying data structures and scalable implementations ; Familiarity with applying said techniques on practical domains (e.g. bioinformatics and intrusion detection). Texts (for reading, several free for OSU students) Introduction to Data Mining, Tan, Steinbach and

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Pang-Ning Tan, Michael Steinbach, Anuj Karpatne and Vipin Kumar, Introduction to Data Mining, Addison Wesley, 1st or 2nd edition. The slides and examples are used in my course CS 7331 Data Mining taught at SMU and will be regularly updated and improved.

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