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Introduction to data mining pang ning tan, michael , 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 Pang-Ning Tan, Michigan State University Michael Steinbach, University of Minnesota , 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 exampl , 1 Introduction 11 What is Data Mining? Statistics Concepts and Techniques, 2nd edition, Morgan Kaufmann, This item: 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 , Dr Pang-Ning Tan is a Professor in the Department of Computer

The book's strengths are that it does a good job covering the field as it was around thetimeframe. Included are discussions of exploring data, classification, clustering, association analysis, cluster analysis, and anomaly detection.

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Provides both theoretical and practical coverage of all data mining topics. Includes extensive number of integrated examples and figures.

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