Publikationen in Zusammenarbeit mit Forschern von Universitat Ramon Llull (18)

2016

  1. Evolving association streams

    Information Sciences, Vol. 334-335, pp. 250-272

2013

  1. A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing

    Journal of Business Research, Vol. 66, Núm. 9, pp. 1332-1337

  2. Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application

    Industrial Marketing Management, Vol. 42, Núm. 4, pp. 532-543

2011

  1. Fuzzy knowledge representation study for incremental learning in data streams and classification problems

    Soft Computing, Vol. 15, Núm. 12, pp. 2389-2414

2010

  1. Automatic discovery of potential causal structures in marketing databases based on Fuzzy association rules

    Studies in Fuzziness and Soft Computing, Vol. 258, pp. 181-206

  2. Evolution of interesting association rules online with learning classifier systems

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

  3. 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

  4. 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

  1. Diagnose effective evolutionary prototype selection using an overlapping measure

    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 23, Núm. 8, pp. 1527-1548

  2. Fuzzy-UCS: A Michigan-style learning fuzzy-classifier system for supervised learning

    IEEE Transactions on Evolutionary Computation, Vol. 13, Núm. 2, pp. 260-283

  3. KEEL: A software tool to assess evolutionary algorithms for data mining problems

    Soft Computing, Vol. 13, Núm. 3, pp. 307-318

2008

  1. A comparative study of several genetic-based supervised learning systems

    Studies in Computational Intelligence, Vol. 125, pp. 205-230

  2. Approximate versus linguistic representation in fuzzy-UCS

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

  3. Evolving fuzzy rules with UCS: Preliminary results

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

  4. First approach toward on-line evolution of association rules with learning classifier systems

    GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

  5. Genetic-based machine learning systems are competitive for pattern recognition

    Evolutionary Intelligence, Vol. 1, Núm. 3, pp. 209-232

  6. Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems

    2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS

2007

  1. Fuzzy-UCS: Preliminary results

    Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, Companion Material