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|z 0471470643 (paper/website)
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|a HF5415.125
|b .B47 2004
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|a 658.8/02
|2 22
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|a Berry, Michael J. A.
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| 245 |
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|a Data mining techniques
|h [electronic resource] :
|b for marketing, sales, and customer relationship management /
|c Michael J.A. Berry, Gordon S. Linoff.
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| 250 |
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|a 2nd ed.
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| 260 |
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|a Indianapolis, Ind. :
|b Wiley Pub.,
|c c2004.
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| 300 |
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|a xxv, 643 p. :
|b ill.
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| 500 |
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|a Includes index.
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| 505 |
0 |
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|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.
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| 533 |
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|a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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| 650 |
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|a Data mining.
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| 650 |
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|a Marketing
|x Data processing.
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| 650 |
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|a Business
|x Data processing.
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| 655 |
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4 |
|a Electronic books.
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| 700 |
1 |
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|a Linoff, Gordon.
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| 710 |
2 |
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|a ProQuest (Firm)
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=183845
|z Click to View
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