Publisher description for Data mining methods and models / Daniel T. Larose.

Bibliographic record and links to related information available from the Library of Congress catalog

Information from electronic data provided by the publisher. May be incomplete or contain other coding.


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

Library of Congress subject headings for this publication:
Data mining.