Introduction to Data Mining Pearson New International Edition 1st By Pang-Ning Tan
Print ISBN: 9781292026152, 1292026154
eText ISBN: 9781292038551, 1292038551
By: Pang-Ning Tan; Michael Steinbach; Vipin Kumar
Publisher: Pearson (Intl)
Print ISBN: 9781292026152, 1292026154
eText ISBN: 9781292038551, 1292038551
Edition: 1st
Copyright year: 2013
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
Additional ISBNs
9781292038551.0, 9781292033037, 1292033037
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