Introduction to Data Mining Pearson New International Edition

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