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- W2003270866 abstract "Advanced technologies have enabled us to collect large amounts of data. These data may be transformed into useful knowledge. Because of our limited ability to manually process the data, it is necessary to use automatic tools to mine useful knowledge. Many data-mining methods have been proposed which are normally restricted to a given representation, such as rules and clusters. This paper proposes FuzzyPred, a metaheuristics-based data-mining method to obtain fuzzy predicates in normal form. We believe that the patterns obtained by FuzzyPred represent an interesting new representation of knowledge that is only obtained by our proposal." @default.
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- W2003270866 date "2013-01-01" @default.
- W2003270866 modified "2023-09-26" @default.
- W2003270866 title "Discovery of fuzzy predicates in database" @default.
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- W2003270866 doi "https://doi.org/10.2991/.2013.6" @default.
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