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00630nam ac200217 k 4500
000003815655
20220101120000
ta
030127s2002 us 000 eng
▼a 0471149993
▼a 123456
▼c 123456
▼d 211070
▼l WM2587
▼l WM2588
▼c 2
▼a QA76.9.D343
▼a QA76.9.D343
▼b S68
▼a Tom,Soukup
▼a Visual Data Mining : techniques and tools for data visualization and mining/
▼d Soukup,Tom;
▼e Davidson,Ian
▼a New York:
▼b Wiley Pub.,
▼c 2002.
▼a 382p.;
▼c 24cm.
▼a Data mining
▼a Database searching
▼a Ian ,Davidson
▼b US$45
▼a 단행본
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 0471149993 |
| 분류기호 : | QA76.9.D343 |
| 개인저자 : | Tom,Soukup |
| 서명/저자사항 : | Visual Data Mining : techniques and tools for data visualization and mining/ Soukup,Tom; Davidson,Ian |
| 발행사항 : | New York: Wiley Pub., 2002. |
| 형태사항 : | 382p.; 24cm. |
| 개인저자 : | Ian ,Davidson |
| 언어 | 영어 |
1. Introduction to data visualization and visual data mining
2. Justifying and planning the data visualization and data mining project
3. Identifying the top business questions
4. Choosing the business data set
5. Transforming the business data set
6. Verity the business data set
7. Choosing the visualization or visual mining tool
8. Analyzing the visualization or mining tool
9. Verifying and presenting the visualizations or mining models
10. The future of visual data mining
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