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Data Mining and Predictive Analytics Wiley Series 2nd. Ed.
by Daniel T. Larose (Author), Chantal D. Larose (Author)
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.
ISBN-13: 978-1118116197
ISBN-10: 1118116194
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