Introduction To Data Mining

Introduction To Data Mining

Author
P. Tan, M. Steinbach, V. Kumar
Publisher
Pearson
Language
English
Edition
2-nd
Year
2005
Page
792
ISBN
978-0321321367
File Type
pdf
File Size
55.6 MiB

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

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