Predictive Data Mining: A Practical Guide (with Software)

by Sholom M. Weiss

Nitin Indurkhya (Secondary Author)

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Book cover for 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.

A state-of-the-art data-mining software kit accompanies the book. The software, which is delivered through a special web site, is a collection of routines for efficient mining of big data. Both classical and the more computationally expensive state-of-the-art prediction methods are included. Using a standard spreadsheet data format, this kit implements all of the data-mining tasks described in the book. The software is available for Windows 95/NT and Unix platforms (no need to specify when ordering).
  • ISBN10 1558604782
  • ISBN13 9781558604780
  • Publish Date 1 February 1997
  • Publish Status Out of Print
  • Out of Print 21 November 2009
  • Publish Country US
  • Publisher Elsevier Science & Technology
  • Imprint Morgan Kaufmann Publishers In
  • Format Paperback
  • Pages 228
  • Language English