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

Author: Berry, Michael J. A.
Published: Indianapolis : Wiley, [2004]
Copyright Date: ©2004
Edition: 2nd ed.
Physical Description: xxv, 643 pages : illustrations, 1 map ; 24 cm
Additional Creators: Linoff, Gordon and NetLibrary, Inc

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Bibliographic record display: ezaccess.libraries.psu.edu , Click here to access this electronic book provided through the Access Pennsylvania Database project.

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Contents

Why and whatis 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.

Subject(s)

ISBN

0764569074 (electronic bk.)

Note

Includes index.
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.

Reproduction Note

Electronic reproduction. Boulder, Colo. : NetLibrary, 2004. Available via World Wide Web. Access may be limited to NetLibrary affiliated libraries.

Funding Information

This netLibrary electronic book is provided through the Access Pennsylvania Database project, a statewide library union catalog funded by the Pennsylvania Legislature and administered by the Pennsylvania Department of Education, Office of Commonwealth Libraries, Bureau of Library Development.

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