By
Sholom Weiss
Nitin Indurkhya
Description
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.
