The study of algorithm for association rule based in the frequent pattern

被引：0
|
作者：
Huang, JH [1 ]
Chen, ZW [1 ]
Fang, SF [1 ]
Shi, Y [1 ]
机构：
[1] YanShan Univ, Dept Management, Qinhuangdao 066004, Hebei, Peoples R China
来源：
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词：
association rules; frequent pattern; data mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1620 / 1624
页数：5
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