DocumentCode
441776
Title
The study of algorithm for association rule based in the frequent pattern
Author
Huang, Jian-Hua ; Chen, Zhi-Wang ; Fang, Shu-Fen ; Shi, Yan
Author_Institution
Dept. of Manage., YanShan Univ., Qinhuangdao, China
Volume
3
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
1620
Abstract
This paper analyses the association rule algorithm based on the frequent mode Fptree, and puts forward an improved algorithm based on binary-expressed. The main idea and realization project of the algorithm are introduced. It is discussed that the new algorithm has improved the efficiency of mining rule by comparing two algorithms with some instances.
Keywords
data mining; tree searching; association rules; data mining; frequent mode Fptree; frequent pattern; Algorithm design and analysis; Association rules; Data mining; Engineering management; Itemsets; Machine learning algorithms; Performance analysis; Project management; Technology management; Transaction databases; Association rules; Data mining; Frequent pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527204
Filename
1527204
Link To Document