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Sharpening Two Data Mining Tools with Genetic Algorithms
by
J. Brian Gray
Department of Information Systems, Statistics, and Management Science, The University of Alabama, Tuscaloosa, AL
Genetic algorithms are powerful optimization techniques that are beginning to find their way into statistical applications. In this presentation, we examine how genetic algorithms can be used to improve the performance of two important tools in data mining, classification and regression trees for data modeling and the minimum volume ellipsoid (MVE) for outlier detection.
Date received: September 12, 2005
Copyright © 2005 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caqt-63.