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Discovering a cover set of ARsi with hierarchy from quantitative databases
Yan, P ; Chen, GQ
2010-05-11 ; 2010-05-11
关键词association rules fuzzy implication hierarchy rule cover set ASSOCIATION RULES Computer Science, Information Systems
中文摘要This paper extends the work on discovering fuzzy association rules with degrees of support and implication (ARsi). The effort is twofold: one is to discover ARsi with hierarchy so as to express more semantics due to the fact that hierarchical relationships usually exist among fuzzy sets associated with the attribute concerned; the other is to generate a "core" set of rules, namely the rule cover set, that are of more interest in a sense that all other rules could be derived by the cover set. Corresponding algorithms for ARsi with hierarchy and the cover set are proposed along with pruning strategies incorporated to improve the computational efficiency. Some data experiments are conducted as well to show the effectiveness of the approach. (c) 2005 Elsevier Inc. All rights reserved.
语种英语 ; 英语
出版者ELSEVIER SCIENCE INC ; NEW YORK ; 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA
内容类型期刊论文
源URL[http://hdl.handle.net/123456789/26221]  
专题清华大学
推荐引用方式
GB/T 7714
Yan, P,Chen, GQ. Discovering a cover set of ARsi with hierarchy from quantitative databases[J],2010, 2010.
APA Yan, P,&Chen, GQ.(2010).Discovering a cover set of ARsi with hierarchy from quantitative databases..
MLA Yan, P,et al."Discovering a cover set of ARsi with hierarchy from quantitative databases".(2010).
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