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Synopsis
Please Read Notes: Brand New, International Softcover Edition, Printed in black and white pages, minor self wear on the cover or pages, Sale restriction may be printed on the book, but Book name, contents, and author are exactly same as Hardcover Edition. Fast delivery through DHL/FedEx express.
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From the Back Cover
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:
- 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 will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.
About the Author
Daniel T. Larose is Professor of Mathematical Sciences and Director of the Data Mining programs at Central Connecticut State University. He has published several books, including Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage (Wiley, 2007) and Discovering Knowledge in Data: An Introduction to Data Mining (Wiley, 2005). In addition to his scholarly work, Dr. Larose is a consultant in data mining and statistical analysis working with many high profile clients, including Microsoft, Forbes Magazine, the CIT Group, KPMG International, Computer Associates, and Deloitte, Inc.
Chantal D. Larose is a Ph.D. candidate in Statistics at the University of Connecticut. Her research focuses on the imputation of missing data and model–based clustering. She has taught undergraduate statistics since 2011, and is a statistical consultant for DataMiningConsultant.com, LLC.
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DATA MINING AND PREDEICTIVE ANALYTICS
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
Softcover. Second Edition. Octavo, 794 pages. In Good plus condition. Black spine with white and yellow lettering. Full binding in black paper. Boards show modest creasing and scuffing, tiny white stain on spine and minor wear to corners. Text block has light soiling on top and fore edges. 1372201. FP New Rockville Stock. Seller Inventory # 1372201
Quantity: 1 available