- Hardcover
- Used
Seller: Skoob-ebooks, Pontiac, QC, CanadaSkoob-ebooks
AbeBooks seller since December 13, 2024
Condition: Used - Good
US$ 23.75
Quantity: 1 available
Add to basketItem description from seller
Moderate wear. Some pages have underlining and/or margin notes (approximately 5% to 10% of the pages and mainly at the beginning of the book ). Cover has slightly scuffed/bent corners. 30-day returns. Shipments destined outside Canada may be subject to duties where the customer resides but shipments to the United States should be exempt since the book was published there. ; 7.7 X 1.6 X 9.4 inches; 792 pages; R5 1.6m/1.7m s2.
Seller Inventory # 8442
- Title
- Introduction to Data Mining
- Author
- Tan, Pang-Ning & Michael Steinbach & Vipin Kumar
- Publisher
- Pearson
- Publication year
- 2005
- Condition
- 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.
Skoob-ebooks
Pontiac, QC, Canada
AbeBooks seller since December 13, 2024
Shipping rates from Canada to U.S.A.
| Item | 5 to 14 business days | 4 to 7 business days |
|---|---|---|
| First item | US$ 9.99 | US$ 25.99 |
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