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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Bibliografiske detaljer
Hovedforfatter: Larose, Daniel T.
Format: Bog
Sprog:Undetermined
Udgivet: Hoboken John Wiley & Sons Inc. 2015
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
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Summary: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.