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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11982

Title: Overview of fuzzy associations mining
Authors: Chen, G.
Wei, Q.
Kerre, E.
WETS, Geert
Issue Date: 2003
Citation: Proceedings ISIS 2003.
Abstract: Associations, as specific forms of knowledge, reflect relationships among items in databases, and have been widely studied in the fields of knowledge discovery and data mining. Recent years have witnessed many efforts on discovering fuzzy associations, aimed at coping with fuzziness in knowledge representation and decision support processes. This paper focuses on associations of three kinds, namely, association rules, functional dependencies and pattern associations, and overviews major fuzzy logic extensions accordingly.
URI: http://hdl.handle.net/1942/11982
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

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