Introduction to Data Mining: Pearson New International Edition Paperback / softback
by Pang-Ning Tan, Michael Steinbach, Vipin Kumar
Paperback / softback
Description
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. QuotesThis 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
Information
-
Item not Available
- Format:Paperback / softback
- Pages:736 pages
- Publisher:Pearson Education Limited
- Publication Date:17/07/2013
- Category:
- ISBN:9781292026152
Other Formats
- PDF from £39.59
Information
-
Item not Available
- Format:Paperback / softback
- Pages:736 pages
- Publisher:Pearson Education Limited
- Publication Date:17/07/2013
- Category:
- ISBN:9781292026152
