Pang-Ning Tan Introduction to Data Mining

ISBN 13: 9781292026152

Introduction to Data Mining

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9781292026152: Introduction to Data Mining

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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Pang-Ning Tan
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Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin
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Pang-Ning Tan, Michael Steinbach, Vipin Kumar
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Book Description Pearson Education Limited, United Kingdom, 2016. Paperback. Book Condition: New. Language: English . Brand New Book. 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 data mining technique, followed by more advanced concepts and algorithms. QuotesThis book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts.-Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules).-Mohammed Zaki, Rensselaer Polytechnic Institute. Bookseller Inventory # AAK9781292026152

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Pang-Ning Tan, Michael Steinbach and Vipin Kumar
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Pang-Ning Tan, Michael Steinbach, Vipin Kumar
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Book Description Pearson Education Limited, United Kingdom, 2016. Paperback. Book Condition: New. Language: English . Brand New Book. 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 data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institute. Bookseller Inventory # AAK9781292026152

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Pang-Ning Tan, Michael Steinbach, Vipin Kumar
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Book Description Pearson Education 2013-07-17, Harlow, Essex, 2013. paperback. Book Condition: New. Bookseller Inventory # 9781292026152

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