Data mining and predictive analytics /

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Bibliographic Details
Author / Creator:Larose, Daniel T., author.
Edition:Second edition.
Imprint:Hoboken, New Jersey : John Wiley & Sons, [2015]
©2015
Description:1 online resource (1 volume) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13637186
Hidden Bibliographic Details
Other authors / contributors:Larose, Chantal D., author.
ISBN:9781118116197
1118116194
9781118116197
9781118868676
1118868676
1118868706
9781118868706
Notes:Includes bibliographical references and index.
English.
Print version record.
Summary:"This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified 'white box' approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets."--
Other form:Larose, Daniel T. Data mining and predictive analytics. Second edition. Hoboken, New Jersey : Wiley, [2015] 9781118116197