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International Edition

Intl. Ed.

Introduction to Data Mining

Intl. Ed.

Introduction to Data Mining Hardback - 2005

by Tan, Kumar, Steinbach

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International Edition

Description

PEARSON INDIA. First Edition. Acceptable. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. International edition.
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Details

  • Title Introduction to Data Mining
  • Author Tan, Kumar, Steinbach
  • Binding Hardback
  • Edition First Edition
  • Condition Used - Acceptable
  • Pages 792
  • Volumes 1
  • Language ENG
  • Publisher PEARSON INDIA, India
  • Publication date May 2, 2005
  • Illustrated Yes
  • Bookseller's Inventory # 9332571406-7-1-7
  • ISBN 9780321321367 / 0321321367
  • Weight 2.63 lbs (1.19 kg)
  • Dimensions 9.4 x 7.7 x 1.6 in (23.88 x 19.56 x 4.06 cm)
  • Category Computers - General Information
  • Library of Congress subjects Data mining
  • Library of Congress Catalogue Number 2005008721
  • Dewey Decimal Code 005.741
  • Quantity available 1

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Summary

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. 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.

Reader reviews for Introduction to Data Mining

From the publisher

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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