JORGE
CASILLAS BARRANQUERO
CATEDRÁTICO DE UNIVERSIDAD
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Universitat Ramon Llull
Barcelona, EspañaPublicacions en col·laboració amb investigadors/es de Universitat Ramon Llull (14)
2016
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Evolving association streams
Information Sciences, Vol. 334-335, pp. 250-272
2013
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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
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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
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Fuzzy knowledge representation study for incremental learning in data streams and classification problems
Soft Computing, Vol. 15, Núm. 12, pp. 2389-2414
2010
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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
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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)
2009
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Fuzzy-UCS: A Michigan-style learning fuzzy-classifier system for supervised learning
IEEE Transactions on Evolutionary Computation, Vol. 13, Núm. 2, pp. 260-283
2008
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A comparative study of several genetic-based supervised learning systems
Studies in Computational Intelligence, Vol. 125, pp. 205-230
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Approximate versus linguistic representation in fuzzy-UCS
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Evolving fuzzy rules with UCS: Preliminary results
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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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
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Genetic-based machine learning systems are competitive for pattern recognition
Evolutionary Intelligence, Vol. 1, Núm. 3, pp. 209-232
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Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems
2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS
2007
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Fuzzy-UCS: Preliminary results
Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, Companion Material