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"--
Сохранить в:
| Главный автор: | |
|---|---|
| Формат: | Sách giấy |
| Опубликовано: |
Chichester, West Sussex ; Hoboken, NJ. :
Wiley,
2011.
|
| Серии: | Wiley series in computational statistics.
|
| Предметы: | |
| Online-ссылка: | Cover image |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
Оглавление:
- 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.