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01412nam a2200229 a 4500 |
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491454 |
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20171111225919.0 |
| 008 |
970403s1997 nyua b 001 0 eng |
| 020 |
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|a 0471179809
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| 050 |
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|a HF5415.125
|b .B47 1997
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| 082 |
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|2 21
|a 658.8/02
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| 100 |
1 |
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|a Berry, Michael J. A.
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| 245 |
1 |
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|a Data mining techniques :
|b for marketing, sales, and customer support/
|c Michael J.A. Berry, Gordon Linoff.
|
| 260 |
1 |
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|a New York :
|b Wiley Computer Pub.,
|c c1997.
|
| 300 |
1 |
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|a x, 454 p. :
|b ill. ;
|c 24 cm.
|
| 504 |
1 |
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|a Includes bibliographical references (p. 443-444) and index.
|
| 505 |
1 |
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|a 1. Why Data Mining? -- 2. The Virtuous Cycle of Data Mining -- 3. TheVirtuous Cycle in Practice -- 4. What Can Data Mining Do? -- 5. DataMining Methodology -- 6. Measuring the Effectiveness of Data Mining --7. Overview of Data Mining Techniques -- 8. Market Basket Analysis --9. Memory-Based Reasoning -- 10. Automatic Cluster Detection -- 11.Link Analysis -- 12. Decision Trees -- 13. Artificial Neural Networks-- 14. Genetic Algorithms -- 15. Data Mining and the Corporate DataWarehouse -- 16. Where Does OLAP Fit In? -- 17. Choosing the Right Toolfor the Job -- 18. Putting Data Mining to Work.
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| 650 |
1 |
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|a Data mining
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| 650 |
1 |
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|a Marketing
|x Data processing
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| 650 |
1 |
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|a Business
|x Data processing.
|
| 700 |
1 |
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|a Linoff, Gordon
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| 952 |
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|a GrThPMO
|b 59afdaf56c5ad17d7e59d726
|c 952a
|d 9528
|e HF5415.125.B47 1997
|t 7
|x m
|z Books
|
