PEDRO
GONZÁLEZ GARCÍA
TITULAR DE UNIVERSIDAD
Francisco
Herrera Triguero
Publicacions en què col·labora amb Francisco Herrera Triguero (11)
2014
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Overview on evolutionary subgroup discovery: Analysis of the suitability and potential of the search performed by evolutionary algorithms
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 4, Núm. 2, pp. 87-103
2011
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An overview on subgroup discovery: Foundations and applications
Knowledge and Information Systems, Vol. 29, Núm. 3, pp. 495-525
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Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD
IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems
2010
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NMEEF-SD: Non-dominated multiobjective evolutionary algorithm for extracting fuzzy rules in subgroup discovery
IEEE Transactions on Fuzzy Systems, Vol. 18, Núm. 5, pp. 958-970
2009
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An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery
IEEE International Conference on Fuzzy Systems
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Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data
Expert Systems with Applications, Vol. 36, Núm. 2 PART 1, pp. 1632-1644
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Non-dominated multi-objective evolutionary algorithm based on fuzzy rules extraction for subgroup discovery
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008
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Subgroup discovery with linguistic rules
Studies in Fuzziness and Soft Computing, Vol. 220, pp. 411-430
2007
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Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing
IEEE Transactions on Fuzzy Systems, Vol. 15, Núm. 4, pp. 578-592
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Multiobjective genetic algorithm for extracting subgroup discovery fuzzy rules
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, MCDM 2007
2006
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Multiobjective evolutionary induction of subgroup discovery fuzzy rules: A case study in marketing
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)