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HICSS
2007
IEEE

Mining Fuzzy Weighted Association Rules

10 years 6 months ago
Mining Fuzzy Weighted Association Rules
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy data mining algorithm is proposed to discovery fuzzy association rules for weighted quantitative data. This is expected to be more realistic and practical than crisp association rules. Discovered rules are expressed in natural language that is more understandable to humans. The paper demonstrates the performance of the proposed approach using a synthetic but realistic dataset.
David L. Olson, Yanhong Li
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where HICSS
Authors David L. Olson, Yanhong Li
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