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4 product ratings - Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach and Vipin Kumar

zPang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining, Pearson Addison Wesley, 2005. zJiawei Han, Micheline Kamber, Data Mining : Concepts and Techniques, 2nd edition, Morgan Kaufmann, 2006. zIan Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition, Morgan Kaufmann, 2005.

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· '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 requires only a modest background in mathematics.

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Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. It is also suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed.

Data Mining c Jonathan Taylor Based in part on slides from text-book, slides of Susan Holmes Statistics 202: Data Mining Introduction c Jonathan Taylor Based in part on slides from textbook, slides of Susan Holmes October 7, 2011 1/1

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Introduction to Data Mining by Pang-Ning 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.

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Introduction to Data Mining by Vipin Kumar,Michael Steinbach,Pang-ning Tan and a great selection of related books, art and collectibles available now at AbeBooks.com.

Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. It is also suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed.

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. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining ...

General Information: 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.

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. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the ...

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.

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. Presented in a clear and accessible way, the book outlines fundamental concepts and ...

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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

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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.

Hadoop: The Definitive Guide, Tom White, O'Reilly Data-Intensive Text Processing with MapReduce, Jimmy Lin and Chris Dyer (/~ jimmylin/ MapReduce-book-final.pdf) Introduction to Data Mining, Third Edition, by Pang-Ning Tan et al. 9

Introduction to Data Mining - Pang-Ning Tan, Michael. 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.

Introduction to Data Mining: Pearson New International Edition PDF eBook Pang-Ning Tan, Michael Steinbach, Vipin Kumar Aug 2013, PDF eBook ISBN13: 9781292038551 ISBN10: 1292038551 Only available for sale to customers in UK and Ireland from this website. For all other customers please click here for details of your local website.

Books, images, historic newspapers, maps, archives and more. "Introduction to Data Mining is a complete introduction to data mining for students, researchers, and professionals. It provides a sound understanding of the foundations of data mining, in addition to covering many important advanced topics."--BOOK JACKET.

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Introduction to data mining / Pang-Ning Tan, Michigan State University, Michael Steinbach, University of Minnesota, Anuj Karpatne, University of Minnesota, Vipin Kumar, University of Minnesota. Access to this resource may be restricted to users from specific IU campuses ...

Brand new Book. Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. It is also suitable for individuals seeking an introduction to data mining. The text assumes only a modest statistics or mathematics background, and no database knowledge is needed.

Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, and Vipin Kumar, "Introduction to Data Mining," 2 nd Edition, Addison Wesley, Boston, MA, ISBN 978-0133128901 (2018). Refereed Journal Publications

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