Data Mining Methods and Models
Posted On Sunday, July 13, 2008 at by must_poor
ISBN: 0471666564/9780471666561
Pages: 344
Publication Date: 2006-01-30
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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