Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.09a
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- Pages.1-6
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- 2003
Overview of Fuzzy Associations Mining
- Chen, Guoqing (School of Economics and Management, Tsinghua University) ;
- Wei, Qiang (School of Economics and Management, Tsinghua University) ;
- Kerre, Etienne (Dept. of Applied Mathematics and Computer Sciences, University of Gent) ;
- Wets, Geert (Faculty of Applied Economic Sciences, Limburg University)
- Published : 2003.09.01
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.
Keywords