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Tan, Steinbach, Kumar & Kumar, Introduction to Data Mining . 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. The text requires only a modest background in mathematics.
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Introduction to Data Mining (First Edition) PangNing Tan, Michigan State University, Michael Steinbach, University of Minnesota Vipin Kumar, University of Minnesota Table of Contents Sample Chapters Resources for Instructors and Students . PowerPoint Slides: 1. Introduction .

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Data Mining. Introduction to Data Mining by PangNing Tan, Michael Steinbach and Vipin Kumar Lecture slides (in both PPT and PDF formats) and three sample Chapters on classification, association and clustering available at the above link. Data Mining  Concepts and Techniques (3rd edition) by Jiawei Han, Micheline Kamber & Jian Pei

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Dr PangNing Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University. He received his M.S. degree in Physics and Ph.D. degree in Computer Science from University of Minnesota. His research interests focus on the development of novel data mining algorithms for a broad range of applications, including climate and ecological sciences, cybersecurity .

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