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Fuzzy association rules:: General model and applications
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AI
DOI：10.1109/TFUZZ.2003.809896.png)
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摘要
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The theory of fuzzy sets has been recognized as a suitable tool to model several kinds of patterns that can hold in data. In this paper, we are concerned with the development of a general model to discover association rules among items in a (crisp) set of fuzzy transactions. This general model can be particularized in several ways; each particular instance corresponds to a certain kind of pattern and/or repository of data. We describe some applications of this scheme, paying special attention to the discovery of fuzzy association rules in relational databases.
Keyword:
association rules
data mining
fuzzy transactions
quantified sentences
期刊
IF:
11.9
论文数:
5.0K
被引数:
2.9W
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