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International Edition

Intl. Ed.

INTRODUCTION TO DATA MINING

Intl. Ed.

INTRODUCTION TO DATA MINING Hardback - 2005

by TAN

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book Condition: Brand New. International Edition. Softcover. This is a Brand New High-Quality Textbook. Different ISBN and cover image with US edition. Fast shipping and ship within 48hours by UPS/DHL global express service to any US destination within 3-5 business days. We do not ship to Po Box, APO and FPO address. Some book may show some sales disclaimer word such as "Not for Sale or Restricted in US" on the cover page. Some international textbooks may come with different exercises or cases at the end of chapters compare to US edition

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Details

  • Title INTRODUCTION TO DATA MINING
  • Author TAN
  • Binding Paperback
  • Edition 1st
  • Condition New
  • Pages 792
  • Volumes 1
  • Language ENG
  • Publisher Pearson, India
  • Publication date May 2, 2005
  • Illustrated Yes
  • Bookseller's Inventory # biblio3039
  • 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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