Introduction to Data Mining
Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin
Language: English
Published by Pearson, 2005
- Hardcover
- Used
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Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting.
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- Title
- Introduction to Data Mining
- Author
- Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin
- Publisher
- Pearson
- Publication year
- 2005
- Condition
- very_good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0321321367
- ISBN 13
- 9780321321367
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
"Synopsis" may belong to another edition of this title.
3Brothers Bookstore
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