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Data Mining And Predictive Analytics 2nd Edition Daniel T Larose

  • SKU: BELL-5226608
Data Mining And Predictive Analytics 2nd Edition Daniel T Larose
$ 31.00 $ 45.00 (-31%)

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Data Mining And Predictive Analytics 2nd Edition Daniel T Larose instant download after payment.

Publisher: Wiley
File Extension: PDF
File size: 11.46 MB
Pages: 824
Author: Daniel T. Larose, Chantal D. Larose
ISBN: 9781118116197, 1118116194
Language: English
Year: 2015
Edition: 2

Product desciption

Data Mining And Predictive Analytics 2nd Edition Daniel T Larose by Daniel T. Larose, Chantal D. Larose 9781118116197, 1118116194 instant download after payment.

Learn methods of data analysis and their application to real-world data sets 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. Data Mining and Predictive Analytics, Second Edition: * Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language * Features over 750 chapter exercises, allowing readers to assess their understanding of the new material * Provides a detailed case study that brings together the lessons learned in the book * Includes access to the companion website, www.dataminingconsultant.com, with exclusive password-protected instructor content Data Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.

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