MARÍA AMPARO
VILA MIRANDA
Investigadora en el periodo 2006-2022
IGNACIO JOSÉ
BLANCO MEDINA
PROFESOR TITULAR DE UNIVERSIDAD
Publicaciones en las que colabora con IGNACIO JOSÉ BLANCO MEDINA (13)
2012
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An Ontology as a Tool for Representing Fuzzy Data in Relational Databases
International Journal of Computational Intelligence Systems, Vol. 5, Núm. 6, pp. 1089-1108
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Ontologies versus relational databases: Are they so different? A comparison
Artificial Intelligence Review, Vol. 38, Núm. 4, pp. 271-290
2011
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An ontology to represent queries in fuzzy relational databases
International Conference on Intelligent Systems Design and Applications, ISDA
2010
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Describing fuzzy db schemas as ontologies: A system architecture view
Communications in Computer and Information Science
2008
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Looking for information in fuzzy relational databases accessible via Web
Handbook of Research on Web Information Systems Quality (IGI Global), pp. 301-323
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The use of ontologies for representing database schemas of fuzzy information
International Journal of Intelligent Systems, Vol. 23, Núm. 4, pp. 419-445
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Using association rules to mine for strong approximate dependencies
Data Mining and Knowledge Discovery, Vol. 16, Núm. 3, pp. 313-348
2005
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A definition for fuzzy approximate dependencies
Fuzzy Sets and Systems, Vol. 149, Núm. 1, pp. 105-129
2003
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A new proposal of aggregation functions: The linguistic summary
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
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A tuple-oriented algorithm for deduction in a fuzzy relational database
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 11, Núm. SUPPL., pp. 47-66
2002
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Measuring the accuracy and interest of association rules: A new framework
Intelligent Data Analysis
2001
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A new framework to assess association rules
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Softening the object-oriented database model: Imprecision, uncertainty, and fuzzy types
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS