Data mining and statistics for decision making /
"Data Mining is a practical guide to understanding and implementing data mining techniques, featuring traditional methods such as cluster analysis, factor analysis, linear regression, PLS regression and generalised linear models"--
保存先:
| 第一著者: | |
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| フォーマット: | Sách giấy |
| 出版事項: |
Chichester, West Sussex ; Hoboken, NJ. :
Wiley,
2011.
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| シリーズ: | Wiley series in computational statistics.
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| 主題: | |
| オンライン･アクセス: | Cover image |
| タグ: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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目次:
- Overview of data mining
- The development of a data mining study
- Data exploration and preparation
- Using commercial data
- Statistical and data mining software
- An outline of data mining methods
- Factor analysis
- Neural networks
- Cluster analysis
- Asociation analysis
- Classification and prediction methods
- An application of data mining: scoring
- Factors for success in a data mining project
- Text mining
- Web mining
- Appendix A: Elements of statistics
- Appendix B: further reading.