
Predictive Data Mining: A Practical Guide
Synopsis
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.
Publisher information
- Publisher: Elsevier Science
- ISBN: 9781558604032
- Number of pages: 228
- Dimensions: 230 x 152 x 13 mm
- Weight: 364g
- Languages: English