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Predictive Data Mining : A Practical Guide

Predictive Data Mining : A Practical Guide

Predictive Data Mining : A Practical Guide
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Predictive Data Mining : A Practical Guide Paperback - 1997

by Indurkhya, Nitin, Weiss, Sholom M

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This book presents a unified view of data mining, drawing from statistics, machine learning, and databases and focuses on the preparation of data and the development of an overall problem-solving strategy. It will interest researchers, programmers, and developers in knowledge discovery and data mining in the disciplines of AI, software engineering, and databases.

Used - Good

Description

Elsevier Science & Technology. Used - Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Predictive Data Mining : A Practical Guide
  • Author Indurkhya, Nitin, Weiss, Sholom M
  • Binding Paperback
  • Edition [ Edition: first
  • Condition Used - Good
  • Pages 228
  • Volumes 1
  • Language ENG
  • Publisher Elsevier Science & Technology, San Francisco
  • Publication date August 1, 1997
  • Bookseller's Inventory # GRP10171424
  • ISBN 9781558604032 / 1558604030
  • Weight 0.86 lbs (0.39 kg)
  • Dimensions 9 x 6 x 0.51 in (22.86 x 15.24 x 1.30 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Database management, Data mining
  • Library of Congress Catalogue Number 97030682
  • Dewey Decimal Code 001.422
  • Quantity available 1

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Reader reviews for Predictive Data Mining : A Practical Guide

From the publisher

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles--and their practical manifestations--in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.

Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.

First line

Data mining is the search for valuable information in large volumes of data.
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