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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527204
