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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

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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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paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Reader reviews for Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems)

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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