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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Opis bibliograficzny
1. autor: Larose, Daniel T.
Format: Książka
Język:Undetermined
Wydane: Hoboken, NJ Wiley-Interscience 2006
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