DocumentCode
2412896
Title
Effective Mining of Fuzzy Quantitative Weighted Association Rules
Author
Li Cheng-jun ; Yang Tian-qi
Author_Institution
Dept. of Comput., Univ. of Jinan, Guangzhou, China
fYear
2010
fDate
7-9 May 2010
Firstpage
1418
Lastpage
1421
Abstract
This paper presents a new method of mining weighted association rules, which can hold the “weighted downward closed property” by using an improved model of weighted support measurements in the weighted setting. Compared to some generalized weighted association rules mining, it proves that the method can quickly and efficiently mine important association rules.
Keywords
authorisation; data mining; fuzzy set theory; fuzzy quantitative weighted association rule mining; generalized weighted association rule mining; weighted downward closed property; weighted support measurement model; Algorithm design and analysis; Association rules; Fuzzy sets; Itemsets; quantitative itemsets; weighted association rules; weighted support;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3997-3
Type
conf
DOI
10.1109/ICEE.2010.360
Filename
5591504
Link To Document