20% off on new Chapman & Hall/CRC Books on
Data Mining and Machine Learning
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Spectral Feature Selection for Data Mining
Zheng Alan Zhao, SAS Institute, Cary, NC, USA; Huan Liu,Arizona State University, Tempe, USA
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semi-supervised feature selection ... Read more.
Catalog no. K12877, December 2011, ISBN: 9781439862094, $
A First Course in Machine Learning
Simon Rogers, University of Glasgow, Scotland; Mark Girolami, University College London, UK
Offering a complete introduction to the fundamental concepts underlying machine learning theory, this text presents modern methods and mathematical foundations needed to enable further study. The text requires minimal mathematical prerequisites, making it appropriate for students who are new to the... Read more.
Catalog no. K11175, Nov. 2011, 320 pp., ISBN: 9781439824146,
Cost-Sensitive Machine Learning
Editors: Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao, Siemens, Malvern, Pennsylvania, USA
Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process... Read more.
Catalog no. K11789, Dec. 2011, ISBN: 9781439839256,
*This special offer is available through January 15, 2012. For more information on these and other titles Visit our Computer Science and Engineering page.