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Introduction to Data Mining 2nd Edition is written by Pang-Ning Tan; Michael Steinbach; Anuj Karpatne; Vipin Kumar and published by Pearson. The Digital and eTextbook ISBNs for Introduction to Data Mining are 9780134080284, 0134080289 and the print ISBNs are 9780133128901, 0133128903. Save up to 80% versus print by going digital with VitalSource.

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Introduction To Data Mining Pang Ning Tan 2/29 [eBooks] discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of ...

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Introduction to Data Mining (Second Edition) Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota Anuj Karpatne, University of Minnesota Vipin ... and then illustrates these concepts in the context of data mining techniques. This chapter addresses the increasing concern over the validity and reproducibility of ...

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Type: BOOK - Published: - Publisher: Pearson Higher Ed. 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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Dr Pang-Ning 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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About the Author(s) Dr Pang-Ning 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 ...

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Introduction to data mining pang-ning tan pdf free download All course material is provided under Instructor: Dr. Michael Hahsler Syllabus and assignments: Canvas Course Description Analytics is based on collecting, managing, exploring and acting on large amounts of data and has become a source of competitive advantage for many organizations.

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