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Data mining and predictive analytics

By: Contributor(s): Material type: TextTextSeries: Wiley Series on Methods and Applications in Data MiningPublication details: Wiley 2017 New DelhiEdition: 2ndDescription: xxix, 794 pISBN:
  • 9788126559138
Subject(s): DDC classification:
  • 363.256 L2D2
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. 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. http://as.wiley.com/WileyCDA/WileyTitle/productCd-1118116194.html
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 25-B / Slot 1173 (0 Floor, East Wing) Non-fiction General Stacks 363.256 L2D2 (Browse shelf(Opens below)) Available 195295

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.


http://as.wiley.com/WileyCDA/WileyTitle/productCd-1118116194.html

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