DocumentCode
2542740
Title
A fuzzy weight algorithm for mining infrequent association rules
Author
Zhengxin, Li ; Fengming, Zhang ; Xiaodong, Lin ; Kewu, Li
Author_Institution
Eng. Inst., Air Force Eng. Univ. AFEU, Xi´´an, China
fYear
2010
fDate
16-18 April 2010
Firstpage
94
Lastpage
97
Abstract
The paper introduces the conception of significance and presents a new algorithm -a fuzzy weight algorithm with multiple supports for mining association rules, which is based on fuzzy-comprehensive evaluation and the algorithm of multiple minimum supports. The new algorithm takes support and significance into consideration at the same time when large itemsets are produced, making the filter criterion more reasonable and not missing items with high significance but low supports.
Keywords
data mining; fuzzy set theory; data mining; filter criterion; fuzzy weight algorithm; mining association rules; Association rules; Data mining; Electronic mail; Filters; Itemsets; Transaction databases; association rules; data mining; fuzzy-comprehensive evaluation; weight algorithm with multiple supports;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5477565
Filename
5477565
Link To Document