data mining: opportunities and challenges
Chapter II - Control of Inductive Bias in Supervised Learning Using Evolutionary Computation A Wrapper-Based Approach
Data Mining: Opportunities and Challenges
by John Wang (ed) 
Idea Group Publishing 2003
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Support for this research was provided in part by the Army Research Lab under grant ARL-PET-IMT-KSU-07, by the Office of Naval Research under grant N00014-01-1-0519, and by the Naval Research Laboratory under grant N00014-97-C-2061. The author thanks Nathan D. Gettings for helpful discussions on data fusion and time series analysis and an anonymous reviewer for comments on background material. Thanks also to David Clutter, Matt A. Durst, Nathan D. Gettings, James A. Louis, Yuching Ni, Yu Pan, Mike Perry, James W. Plummer, Victoria E. Lease, Tom Redman, Cecil P. Schmidt, and Kris Wuollett for implementations of software components of the system described in this chapter.

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Data Mining(c) Opportunities and Challenges
Data Mining: Opportunities and Challenges
ISBN: 1591400511
EAN: 2147483647
Year: 2003
Pages: 194
Authors: John Wang © 2008-2017.
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