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Data Mining Methods and Models
by Larose, Daniel T.
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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 Strategic Risk Assessment based on Organizational Mode 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
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Title of ebook:
Data Mining Methods and Models
ISBN:
9780471756477
Publisher:
Wiley-IEEE Press
Internet download file size:
4585 kb
Pages:
344
Released online for download
: 02-02-2006
Author of eBook:
Larose, Daniel T.
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