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Abstract: The increasing amount of information available is encouraging the search for efficient techniques to improve the data mining methods, especially those which consume great computational resources, as evolutionary computation. Efficacy and efficiency are two critical aspects for knowledge--based techniques. The incorporation of knowledge into evolutionary algorithms should provide either better solutions (efficacy) or the equivalent solutions in shorter time (efficiency), regarding the same... (Update)
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BibTeX entry: (Update)
@misc{ giraldez-knowledgebased,
author = "Raul Giraldez and Jesus S. Aguilar-Ruiz and Jose C. Riquelme",
title = "Knowledge-based Fast Evaluation for Evolutionary Learning",
url = "citeseer.ist.psu.edu/article/giraldez05knowledgebased.html" }
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4 Evolving Multiple Discretizations with Adaptive Intervals fo.. (context) - Bacardit, Garrell - 2003
3 Evolutionary Learning of Hierarchical Decision Rules - Aguilar--Ruiz, Riquelme et al. - 2003
2 Natural Coding: A More Efficient Representation for Evolutio.. (context) - Girldez, Aguilar-Ruiz et al. - 2003
2 Adding Knowledge And Efficient Data Structures To Evolutiona.. (context) - Coello, Landa - 2002
2 Evolutionary Neuroestimation of Fitness Functions (context) - Aguilar--Ruiz, Mateos et al. - 2003
2 Adaptive Parameterization of Evolutionary Algorithms Driven .. (context) - Annunziato, Pizzuti - 2000
2 Discretization Oriented to Decision Rule Generation (context) - Girldez, Aguilar-Ruiz et al. - 2002
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