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Fuzzy machine learning and data mininga
WIREs Data Mining and Knowledge Discovery, 2011AbstractThe development of methods for machine learning and data mining has attracted increasing attention in the fuzzy set community in recent years. The aim of this paper is to assess the relevance of fuzzy set theory and fuzzy logic for these fields, highlighting potential contributions without concealing alleged limitations and shortcomings of ...
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2001
Data mining and fuzzy systems share an important common feature that is information granulation. Information granules, and fuzzy sets exploited in the setting of this study, are used to reveal stable, transparent and meaningful patterns in databases. While there exists panoply of various forms of patterns, we focus on associations and rules as the two ...
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Data mining and fuzzy systems share an important common feature that is information granulation. Information granules, and fuzzy sets exploited in the setting of this study, are used to reveal stable, transparent and meaningful patterns in databases. While there exists panoply of various forms of patterns, we focus on associations and rules as the two ...
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Genetic-Fuzzy Data Mining Techniques
2010 IEEE International Conference on Granular Computing, 2009Tzung-Pei Hong +2 more
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Explainable Fuzzy Utility Mining on Sequences
IEEE Transactions on Fuzzy Systems, 2021Wensheng Gan, Zilin Du, Weiping Ding
exaly
On Genetic-Fuzzy Data Mining Techniques
2007 IEEE International Conference on Granular Computing (GRC 2007), 2007Tzung-Pei Hong +1 more
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Value of fuzzy logic for data mining and machine learning: A case study
Expert Systems With Applications, 2020Vuqar Mirzakhanov
exaly
Fuzzy Data Mining for Video [PDF]
, 2003 Marsala, Christophe, Detyniecki, Marcin
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