Publicaciones en colaboración con investigadores/as de Universidad de Granada (32)

2017

  1. KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249

  2. Mining association rules in R using the package RKEEL

    IEEE International Conference on Fuzzy Systems

2015

  1. Genetic learning of the membership functions for mining fuzzy association rules from low quality data

    Information Sciences, Vol. 295, pp. 358-378

  2. Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data

    Engineering Applications of Artificial Intelligence, Vol. 44, pp. 10-24

  3. The behavioral meaning of the median

    Information Sciences, Vol. 294, pp. 127-138

2013

  1. A genetic fuzzy linguistic combination method for fuzzy rule-based multiclassifiers

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 5, pp. 950-965

  2. An extension of the FURIA classification algorithm to low quality data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challenges

    Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

  4. CI-LQD: A software tool for modeling and decision making with Low Quality Data

    IEEE International Conference on Fuzzy Systems

  5. Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?

    Knowledge-Based Systems, Vol. 54, pp. 3-21

2011

  1. KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework

    Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, Núm. 2-3, pp. 255-287

2010

  1. 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