Introduction to Data Mining
Tan, Kumar, Steinbach
ISBN 10: 0321321367 ISBN 13: 9780321321367
Published by PEARSON INDIA (edition First Edition), 2005
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About this Item
Description:
The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. International edition. Seller Inventory # 9332571406-7-1-7
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 INDIA (edition First Edition)
Publication Date: 2005
Binding: Paperback
Condition: Fair
Edition: First Edition.