A Comparison of Methods for Rule Subset Selection Applied to Associative Classification

This paper presents Garss, a new algorithm for rule subset selection based on genetic algorithms, whichuses the area under the ROC curve – AUC – as fitness function. Garss is a post-processing methodthat can be applied to any rule learning algorithm. In this work, Garss is analysed in the context of...

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Detalhes bibliográficos
Publicado no:Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial
Main Authors: Gustavo E. A. P. A. Batista, Claudia R. Milaré, Ronaldo C. Prati, Maria C. Monard
Formato: Artigo
Idioma:Inglês
Publicado em: Asociación Española para la Inteligencia Artificial 2006
Assuntos:
Ingeniería
Machine Learning
Genetic Algorithms
Rule Subset Selection
Associative Classification
Acesso em linha:https://www.redalyc.org/articulo.oa?id=92503205
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