Data mining techniques
Subtitle: for marketing, sales, and customer support
By: Michael J.A. Berry, Gordon Linoff.
Contributors: Linoff, Gordon.
Publisher: Wiley
Published: 1997
Place of publication: New York
Language: eng
Number of pages: 454
Subjects: Data mining.; Marketing -- Data processing.; Business -- Data processing.
Description: Data Mining Techniques thoroughly acquaints you with the new generation of data mining tools and techniques and shows you how to use them to make better business decisions. One of the first practical guides to mining business data, it describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies.

While database analysts will find more than enough technical information to satisfy their curiosity, technically savvy business and marketing managers will find the coverage eminently accessible.

Here's your chance to learn all about how leading companies across North America are using data mining to beat the competition; how each tool works, and how to pick the right one for the job; seven powerful techniques - cluster detection, memory-based reasoning, market basket analysis, genetic algorithms, link analysis, decision trees, and neural nets, and how to prepare data sources for data mining, and how to evaluate and use the results you get.

Data Mining Techniques shows you how to quickly and easily tap the gold mine of business solutions lying dormant in your information systems.
Notes: Includes bibliographical references (p. 443-444) and index.