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Predictive Data Mining: A Practical Guide

Predictive Data Mining: A Practical Guide

Predictive Data Mining: A Practical Guide
Stock photo: cover may vary

Predictive Data Mining: A Practical Guide Paperback - 1998

by Weiss, S.M. and Indurkhya, N

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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.

Description

Morgan Kaufmann, 1998. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9781558604032
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Details

  • Title Predictive Data Mining: A Practical Guide
  • Author Weiss, S.M. and Indurkhya, N
  • Binding Paperback
  • Edition [ Edition: first
  • Pages 228
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann, San Francisco
  • Publication date 1998
  • Bookseller's Inventory # 8658855
  • 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

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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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