Introduction to Data Mining
Tan, Pang-Ning
ISBN 10: 0321321367 ISBN 13: 9780321321367
Published by Pearson, 2005
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World of Books (was SecondSale), Montgomery, IL, U.S.A.
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About this Item
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Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00095381770
Synopsis:
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
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Introduction to Data Mining
Publisher: Pearson
Publication Date: 2005
Binding: Hardcover
Condition: Good
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