Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
     
Limit search to available items
Results Page:  Previous Next
Author Larose, Chantal, author.

Title Data Mining and Predictive Analytics, 2nd Edition [O'Reilly electronic resource] / Larose, Chantal.

Edition 2nd edition
Publication Info. Wiley, 2015.
QR Code
Description 1 online resource (824 pages)
text file
139.95
Summary 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 , 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.
Reproduction Electronic reproduction. Boston, MA : Safari, Available via World Wide Web. 2015.
System Details Mode of access: World Wide Web.
Genre Electronic books.
Added Author Larose, Daniel, author.
Safari, an O’Reilly Media Company.
ISBN 9781118116197
9781118868706
1118116194
9781118116197
Standard No. 9781118868706
Patron reviews: add a review
EBOOK
No one has rated this material

You can...
Also...
- Find similar reads
- Add a review
- Sign-up for Newsletter
- Suggest a purchase
- Can't find what you want?
More Information