Data mining methods and models
Provides an introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis Presents a unified approach based on CRISP methodology, which involves Strategi...
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| Format: | Livre |
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Hoboken, NJ
Wiley-Interscience
2006
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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