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
Introduction to Data Mining
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Author: Tan, Pang-Ning
Binding: Hardcover
ISBN: 9780321321367
Details:
Author: Tan, Pang-Ning
Brand: Tan, Pang-Ning/ Steinbach, Michael/ Kumar, Vipin
Edition: 1
Binding: Hardcover
Number Of Pages: 792
Release Date: 02-05-2005
Part Number: illustrations
Package Dimensions: 9.6 x 7.8 x 1.7 inches Languages: English
EAN: 9780321321367
