Predictive Data Mining A Practical Guide |
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Author:
| Weiss, Sholom M. Indurkhya, Nitin |
Series title: | The Morgan Kaufmann Series in Data Management Systems Ser. |
ISBN: | 978-1-55860-403-2 |
Publication Date: | Dec 1997 |
Publisher: | Elsevier Science & Technology
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Imprint: | Morgan Kaufmann |
Book Format: | Paperback |
List Price: | USD $78.95 |
Book Description:
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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...
More DescriptionThe 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.