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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखक: Larose, Daniel T.
स्वरूप: पुस्तक
भाषा:Undetermined
प्रकाशित: Hoboken, NJ Wiley-Interscience 2006
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विवरण
सारांश: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 Strategic Risk Assessment based on Organizational Modelling. A companion Web site features downloads of large data sets used in the chapter projects, with a discussion area and message board, where readers are encouraged to exchange ideas