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Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems)

Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems)

Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data
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Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems) Paperback - 1997

by Weiss, Sholom M.; Indurkhya, Nitin

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This book presents a unified view of data mining, drawing from statistics, machine learning, and databases and focuses on the preparation of data and the development of an overall problem-solving strategy. It will interest researchers, programmers, and developers in knowledge discovery and data mining in the disciplines of AI, software engineering, and databases.

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Morgan Kaufmann, 1997-08-15. Paperback. New. In shrink wrap. Looks like an interesting title!
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From the publisher

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.

First line

Data mining is the search for valuable information in large volumes of data.

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