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02017nam a2200337 a 4500 |
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2042947 |
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20171112000043.0 |
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040514s2004 inuab o 001 0 eng d |
020 |
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|a 0764569074
|q (electronic bk.)
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020 |
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|a 9780764569074
|q (electronic bk.)
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020 |
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|a 9780471470649
|q (paper/website)
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020 |
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|a 0471470643
|q (paper/website)
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040 |
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|a N$T
|b eng
|e pn
|
050 |
|
4 |
|a HF5415.125
|b .B47 2004eb
|
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.
|
952 |
|
|
|a CY-NiOUC
|b 5a04625a6c5ad14ac1ee74e5
|c 998a
|d 945l
|x m
|z Books
|
952 |
|
|
|a GrThPMO
|b 59b00bc56c5ad17d7e5aafe7
|c 952a
|d 9528
|e HF5415.125.B47 2004
|t 14
|x m
|z Books
|