RAZONAMIENTO APROXIMADO E INTELIGENCIA ARTIFICIAL
RAZONAMIENTO APROXIMADO E INTE
Universidad de Mondragón/Mondragon Unibertsitatea
Mondragón, EspañaPublicacións en colaboración con investigadores/as de Universidad de Mondragón/Mondragon Unibertsitatea (3)
2019
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Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0
Engineering Applications of Artificial Intelligence, Vol. 82, pp. 30-43
2007
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Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing
IEEE Transactions on Fuzzy Systems, Vol. 15, Núm. 4, pp. 578-592
2006
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Multiobjective evolutionary induction of subgroup discovery fuzzy rules: A case study in marketing
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)