Introduction to Data Mining

Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin

ISBN 10: 0321321367 / ISBN 13: 9780321321367

Published by Pearson, 2005

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.

Seller Inventory # OTV.0321321367.G

Bibliographic Details

• Title: Introduction to Data Mining
• Publisher: Pearson
• Publication Date: 2005
• Language: English
• ISBN 10: 0321321367
• ISBN 13: 9780321321367
• Binding: Hardcover
• Condition: good

About this title

Synopsis

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