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Data mining techniques [electronic resource] : for marketing, sales, and customer relationship management / Michael J.A. Berry, Gordon S. Linoff.

By: Berry, Michael J. A.
Contributor(s): Linoff, Gordon | ebrary, Inc.
Publisher: Indianapolis, Ind. : Wiley Pub., c2004Edition: 2nd ed.Description: xxv, 643 p. : ill. ; 24 cm.Subject(s): Data mining | Marketing -- Data processing | Business -- Data processingGenre/Form: Electronic books. DDC classification: 658.8/02 Online resources: An electronic book accessible through the World Wide Web; click to view
Contents:
Why and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.
Item type Current location Call number Status Date due Barcode
658.8/02 (Browse shelf) Available

Includes index.

Why and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.

TSLHHL

Electronic reproduction. Palo Alto, Calif. : ebrary, 2009. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.