Publikationen, an denen er mitarbeitet Francisco Herrera Triguero (11)

2014

  1. 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

  1. An overview on subgroup discovery: Foundations and applications

    Knowledge and Information Systems, Vol. 29, Núm. 3, pp. 495-525

  2. 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

  1. 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

  1. An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery

    IEEE International Conference on Fuzzy Systems

  2. 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

  3. 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

  1. Subgroup discovery with linguistic rules

    Studies in Fuzziness and Soft Computing, Vol. 220, pp. 411-430

2007

  1. 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

  2. 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

  1. 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)