Data mining techniques for marketing, sales, and customer relationship management /
Berry, Michael J. A.
Data mining techniques for marketing, sales, and customer relationship management / [electronic resource] : Michael J.A. Berry, Gordon S. Linoff. - 2nd ed. - Indianapolis, Ind. : Wiley Pub., c2004. - xxv, 643 p. : ill.
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.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Data mining.
Marketing--Data processing.
Business--Data processing.
Electronic books.
HF5415.125 / .B47 2004
658.8/02
Data mining techniques for marketing, sales, and customer relationship management / [electronic resource] : Michael J.A. Berry, Gordon S. Linoff. - 2nd ed. - Indianapolis, Ind. : Wiley Pub., c2004. - xxv, 643 p. : ill.
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.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Data mining.
Marketing--Data processing.
Business--Data processing.
Electronic books.
HF5415.125 / .B47 2004
658.8/02