FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
Universitat Ramon Llull
Barcelona, EspañaUniversitat Ramon Llull-ko ikertzaileekin lankidetzan egindako argitalpenak (4)
2010
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Genetics-based machine learning for rule induction: State of the art, taxonomy, and comparative study
IEEE Transactions on Evolutionary Computation, Vol. 14, Núm. 6, pp. 913-941
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Introduction to the experimental design in the data mining tool KEEL
Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies (IGI Global), pp. 1-25
2009
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Diagnose effective evolutionary prototype selection using an overlapping measure
International Journal of Pattern Recognition and Artificial Intelligence, Vol. 23, Núm. 8, pp. 1527-1548
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KEEL: A software tool to assess evolutionary algorithms for data mining problems
Soft Computing, Vol. 13, Núm. 3, pp. 307-318