Mining fuzzy association rules
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Multi-objective genetic algorithms based automated clustering for fuzzy association rules mining
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Genetic algorithm based framework for mining fuzzy association rules
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Effect of similar behaving attributes in mining of fuzzy association rules in the large databases
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Automatic linguistic report of traffic evolution in roads
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Expert Systems with Applications: An International Journal
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Applied Soft Computing
I-struve: Automatic linguistic descriptions of visual double stars
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The problem of discovery in databases focuses on the issue of extracting knowledge from information contained in a database. We feel that fuzzy logic can provide a powerful tool to aid in this endeavor. In particular we feel that the the idea of a linguistic summary, can be an important vehicle for representing discovered knowledge. We describe some of the salient ideas related to the concept of linguistic summaries.