Introduction to Data Mining

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
ASIN: 0321321367
VSKU: RDV.0321321367.VG
Condition: Very Good
Author/Artist:Tan, Pang-Ning|Steinbach, Michael|Kumar, Vipin
Binding: Hardcover
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: This book is in excellent condition. There may be minimal writing on the inside cover or cover page. Cover image on the book may vary from photo. Ships out quickly in a secure plastic mailer.