Data mining and predictive analytics
This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is desi...
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| Tác giả chính: | |
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| Định dạng: | Sách |
| Ngôn ngữ: | Undetermined |
| Được phát hành: |
Hoboken
John Wiley & Sons Inc.
2015
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| Những chủ đề: | |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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| LEADER | 01271nam a2200205Ia 4500 | ||
|---|---|---|---|
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| 008 | 210402s9999 xx 000 0 und d | ||
| 020 | |c 2669000 | ||
| 082 | |a 006.312 | ||
| 082 | |b L326 | ||
| 100 | |a Larose, Daniel T. | ||
| 245 | 0 | |a Data mining and predictive analytics | |
| 245 | 0 | |c Daniel T. Larose, Chantal D. Larose | |
| 260 | |a Hoboken | ||
| 260 | |b John Wiley & Sons Inc. | ||
| 260 | |c 2015 | ||
| 520 | |a This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. | ||
| 650 | |a Khai thác dữ liệu,Data mining | ||
| 904 | |i Hải | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||