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Table of Contents Chapter 1. Introduction PangNing Tan/Michael Steinbach/Vipin Kumar 1 Chapter 2. Data PangNing Tan/Michael Steinbach/Vipin Kumar 19 Chapter 3. Exploring Data PangNing Tan/Michael Steinbach/Vipin Kumar 97 Chapter 4. Classifiion: Basic Concepts, Decision Trees, and Model Evaluation PangNing Tan/Michael Steinbach/Vipin ...
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Introduction to Data Mining / Edition 1 by PangNing Tan ... Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals.
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Tan, PangNing, author; Steinbach, Michael; Kumar, Vipin ''Introduction to Data Mining'' presents fundamental concepts and algorithms for those learning data mining. Each concept is explored thoroughly and supported with numerous examples. The text .
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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. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each ...
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PangNing Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar; Publisher: Pearson; ISBN: . Pages: 864. Available at Amazon. Save to Binder Binder Export Citation Citation. Share on. Bibliometrics. Citation count. 12. Downloads (6 weeks) 0. Downloads (12 months) 0. Downloads (cumulative) 0. Sections. Introduction to Data Mining ...
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by PangNing Tan, Michael Steinbach, Anuj Karpatne. Edition/Type: 2nd Edition/Solution manual. Format: PDF Zip/All chapter include. Size: 899KB. Introduction to Data Mining, 2nd Edition, gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and ...
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