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00607nam ac200217 k 4500
000003798417
20220101120000
ta
020225s1997 us 000 eng
▼a 0471179809
▼a 123456
▼c 123456
▼d 211070
▼l WM577
▼a HF5415.125
▼a HF5415.125
▼b B47
▼a Michael J A,Betty
▼a Data Mining Techniques/
▼d Betty,Michael J A;
▼e Linoff,Gordon
▼a New York:
▼b John Wiley & Sons, Inc.,
▼c 1997.
▼a 454p.;
▼c 24cm.
▼a DATA MINING
▼a Marketing
▼a Data processing
▼a Business
▼a Gordon,Linoff
▼b US$49
▼a 단행본
| Data Type : | 단행본 |
|---|---|
| ISBN : | 0471179809 |
| Class No. : | HF5415.125 |
| Personal Author : | Michael J A,Betty |
| Title/Author : | Data Mining Techniques/ Betty,Michael J A; Linoff,Gordon |
| Imprint : | New York: John Wiley & Sons, Inc., 1997. |
| Format : | 454p.; 24cm. |
| Personal Author : | Gordon,Linoff |
| Language | English |
1. Why Data Mining?
2. The Virtuous Cycle of Data Mining
3. The Virtous Cycle of Data Mining
4. What Can Data Mining Practice
5. Data Mining 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 Data Warehouse
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