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Predictive Data Mining

A Practical Guide

  • 1st Edition - August 1, 1997
  • Authors: Sholom M. Weiss, Nitin Indurkhya
  • Language: English
  • Paperback ISBN:
    9 7 8 - 1 - 5 5 8 6 0 - 4 0 3 - 2

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need… Read more

Predictive Data Mining

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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.