MIGUEL
DELGADO CALVO-FLORES
Investigador en el periodo 2021-2022
European Centre for Soft Computing
Mieres del Camino, EspañaPublicaciones en colaboración con investigadores/as de European Centre for Soft Computing (15)
2016
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Discovering Fuzzy Exception and Anomalous Rules
IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 4, pp. 930-944
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On the relation between fuzzy and generalized quantifiers
Fuzzy Sets and Systems, Vol. 294, pp. 125-135
2015
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Fuzzy meta-association rules for information fusion
2015 18th International Conference on Information Fusion, Fusion 2015
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On fuzzy modus ponens to assess fuzzy association rules
Studies in Fuzziness and Soft Computing, Vol. 322, pp. 269-276
2014
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Anomaly detection using fuzzy association rules
International Journal of Electronic Security and Digital Forensics, Vol. 6, Núm. 1, pp. 25-37
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Fuzzy quantification: A state of the art
Fuzzy Sets and Systems, Vol. 242, pp. 1-30
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Meta-association rules for fusing regular association rules from different databases
FUSION 2014 - 17th International Conference on Information Fusion
2013
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Detecting anomalous and exceptional behaviour on credit data by means of association rules
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012
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Evaluation of fuzzy quantified sentences: Keeping the Boolean properties
2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012
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On a non-nested level-based representation of fuzziness
Fuzzy Sets and Systems
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RL-bags: A conceptual, level-based approach to fuzzy bags
Fuzzy Sets and Systems, Vol. 208, pp. 111-128
2011
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A formal model for mining fuzzy rules using the RL representation theory
Information Sciences, Vol. 181, Núm. 23, pp. 5194-5213
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A fuzzy rule mining approach involving absent items
Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2011 and French Days on Fuzzy Logic and Applications, LFA 2011
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An approach to general quantification using representation by levels
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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New approaches for discovering exception and anomalous rules
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 19, Núm. 2, pp. 361-399