DocumentCode
2783874
Title
The measures and mining method of credible association rule
Author
Xiao, Bo ; Xu, Qianfang ; Lin, Zhiqing ; Guo, Jun
Author_Institution
Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2009
fDate
6-8 Nov. 2009
Firstpage
322
Lastpage
325
Abstract
Credible association rule(CAR) is a new type of association pattern in which items are highly affiliated with each other. The presence of an item in one transaction strongly implies the presence of every other item in the same CAR. And a maximal CAR is a CAR whose each superset isn´t a CAR, so the maximal CAR specifies a more compact representation of a group of CARs. In this paper, we introduce some measures for CAR which all represent the affinity of the items in a CAR. A mining method based on maximal clique is also presented to mine all of the maximal CARs. The experimental results demonstrate that the mining method is more effective than the other stand mining methods for association rules.
Keywords
data mining; association pattern; credible association rule; data mining; item affinity; maximal clique; Association rules; Data mining; Itemsets; Transaction databases; credible association rule(CAR); data mining; maximal clique; measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4898-2
Electronic_ISBN
978-1-4244-4900-6
Type
conf
DOI
10.1109/ICNIDC.2009.5360993
Filename
5360993
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