Evolutionary Mining of Rule Ensembles

Evolutionary Mining of Rule Ensembles

Jorge Muruzabal (University Rey Juan Carlos, Spain)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch092
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Abstract

Ensemble rule based classification methods have been popular for a while in the machine-learning literature (Hand, 1997). Given the advent of low-cost, high-computing power, we are curious to see how far can we go by repeating some basic learning process, obtaining a variety of possible inferences, and finally basing the global classification decision on some sort of ensemble summary. Some general benefits to this idea have been observed indeed, and we are gaining wider and deeper insights on exactly why this is the case in many fronts of interest.

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