Data mining techniques for marketing, sales, and customer relationship management /

Bibliographic Details
Main Author: Berry, Michael J. A.
Corporate Author: ProQuest (Firm)
Other Authors: Linoff, Gordon.
Format: Electronic eBook
Language:English
Published: Indianapolis, Ind. : Wiley Pub., c2004.
Edition:2nd ed.
Subjects:
Online Access:Click to View
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100 1 |a Berry, Michael J. A. 
245 1 0 |a Data mining techniques  |h [electronic resource] :  |b for marketing, sales, and customer relationship management /  |c Michael J.A. Berry, Gordon S. Linoff. 
250 |a 2nd ed. 
260 |a Indianapolis, Ind. :  |b Wiley Pub.,  |c c2004. 
300 |a xxv, 643 p. :  |b ill. 
500 |a Includes index. 
505 0 |a 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. 
533 |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. 
650 0 |a Data mining. 
650 0 |a Marketing  |x Data processing. 
650 0 |a Business  |x Data processing. 
655 4 |a Electronic books. 
700 1 |a Linoff, Gordon. 
710 2 |a ProQuest (Firm) 
856 4 0 |u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=183845  |z Click to View