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  • Introduction to Data Mining (Second Edition)
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    DrPang-NingTan 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 noveldata miningalgorithms for a broad range of applications, including climate and ecological sciences, cybersecurity ...

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    We used thisbookin a class which was my first academicintroduction to data mining. Thebook'sstrengths are that it does a good job covering the field as it was around the 2008-2009 timeframe. Included are discussions of exploringdata, classification, clustering, association analysis, cluster analysis, and anomaly detection.

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  • Introduction to Data Mining (Second Edition)
    Introduction to Data Mining (Second Edition)

    Introduction to Data Mining(Second Edition)Pang-NingTan, Michigan State University, Michael Steinbach, University of Minnesota ... ExploringData: Thedataexploration chapter has been removed from the print edition of thebook, but is available on the web. Appendices: ...

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    Jan 18, 2018·Introduction to Data Mining presents fundamental conceptsand algorithms for thoselearning data miningfor the first time. Each concept is explored thoroughly and supported with numerous examples. KEY TOPICS: Provides both theoretical and practical coverage of alldata mining topics. Includes extensive number of integrated examples and figures. Topics covered include;predictive modeling…

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    Introduction to Data Mining(First Edition)Pang-NingTan, Michigan State University, Michael Steinbach, University of Minnesota Vipin Kumar, University of Minnesota Table of Contents Sample Chapters ...BookFigures in PowerPoint Slide Format: 1.Introduction(figure slides: ) 2.

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