Berry, Michael J. A. <br/><br/>
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. 
<br/><br/> Includes index. 
<br/><br/>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. 
<br/><br/><br/>Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. 
<br/><br/><label>ISBN: </label>
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<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.<br/>Marketing--Data processing.<br/>Business--Data processing.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>HF5415.125  / .B47 2004 
<br/><br/><label>Dewey Class. No.: </label>658.8/02