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

Main Author: Berry, Michael J. A.
Other Authors: Linoff, Gordon.
Format: Book
Language:English
Published: Indianapolis : Wiley, ©2004.
Edition:2nd ed.
Subjects:
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100 1 4 |a Berry, Michael J. A. 
245 1 0 |a Data mining techniques :  |b for marketing, sales, and customer relationship management /  |c Michael J.A. Berry, Gordon S. Linoff. 
250 1 0 |a 2nd ed. 
260 1 0 |a Indianapolis :  |b Wiley,  |c ©2004. 
300 1 0 |a 1 online resource (xxv, 643 pages) :  |b illustrations, 1 map 
500 1 0 |a Includes index. 
505 0 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. 
650 0 0 |a Data mining. 
650 0 0 |a Marketing  |x Data processing. 
650 0 0 |a Business  |x Data processing. 
650 0 7 |a BUSINESS & ECONOMICS  |x Green Business. 
650 0 7 |a Business  |x Data processing. 
650 0 7 |a Data mining. 
650 0 7 |a Marketing  |x Data processing. 
700 1 7 |a Linoff, Gordon. 
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