Data mining techniques [electronic resource] : for marketing, sales, and customer relationship management / Michael J.A. Berry, Gordon S. Linoff.
By: Berry, Michael J. A
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Contributor(s): Linoff, Gordon
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Publisher: Indianapolis, Ind. : Wiley Pub., c2004Edition: 2nd ed.Description: xxv, 643 p. : ill. ; 24 cm.Subject(s): Data mining![](/opac-tmpl/bootstrap/images/filefind.png)
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Item type | Current location | Call number | Status | Date due | Barcode |
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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.
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Electronic reproduction. Palo Alto, Calif. : ebrary, 2009. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.