Data Mining and Predictive Analytics

Taal: Engels
Data Mining and Predictive Analytics
  • Engels
  • Hardcover
  • 9781118116197
  • Druk: 2nd Edition
  • maart 2015
  • 824 pagina's
Alle productspecificaties

Samenvatting

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.

Productspecificaties

Inhoud

Taal
Engels
Bindwijze
Hardcover
Druk
2nd Edition
Verschijningsdatum
2015-04-24
Afmetingen
25 x 15 x 8,1 cm
Aantal pagina's
824 pagina's
Illustraties
Nee

Vertaling

Originele Titel
Data Mining Methods and Models

EAN

EAN
9781118116197

Overige kenmerken

Extra groot lettertype
Nee
NUR code
786
Oorspronkelijke releasedatum
2015-03-06
Thema Subject Code
UNF

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