Introduction to Data Mining
Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin
Language: English
Published by Pearson, 2005
- Hardcover
- Used
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.Goodwill of Silicon Valley
AbeBooks seller since June 28, 2024
Condition: Used - Very good
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Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.
Seller Inventory # GWSVV.0321321367.VG
- 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.
Goodwill of Silicon Valley
SAN JOSE, CA, U.S.A.
AbeBooks seller since June 28, 2024
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