Evolutionary and metaheuristics based data mining

DM poses a great range of interesting (NP-hard) problems that consists mainly in searching for: the pattern/model that best describe the data, the more predictive subset of variables, the more accurate parameter configuration, etc. Because of this, and of the success obtained by metaheuristics when...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 13; no. 3; pp. 209 - 212
Main Authors:	del Jesús, María J., Gámez, José A., Puerta, José M.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer-Verlag 01.02.2009 Springer Nature B.V
Subjects:	Artificial Intelligence Bayesian analysis Classification Classifiers Clustering Combinatorial analysis Computational Intelligence Control Data mining Dependence Editorial Engineering Evolutionary algorithms Fuzzy sets Genetic algorithms Heuristic methods Machine learning Mathematical Logic and Foundations Mechatronics Neural networks Optimization Robotics Variables
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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