Pushing fuzzy constraints in frequent itemset mining

被引:0
|
作者
Ren, Zhi-Bo [1 ,2 ]
Zhang, Qiang [1 ]
机构
[1] Beijing Inst Technol, Dept Management & Econ, Beijing 100081, Peoples R China
[2] Hebei Univ, Dept Management, Baoding 071002, Peoples R China
来源
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
基金
中国国家自然科学基金;
关键词
frequent itemset mining; constraint; fuzzy set; pruning; algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Human is the focus of knowledge discovery. The user can express his focus via constraints in mining. However, constraints specified by the user are often fuzzy. The paper proposes the notion of fuzzy constraints and develops techniques to introduce these fuzzy constraints into the Apriori algorithm for mining frequent itemsets. The experiment results show the effectiveness of the improved techniques.
引用
收藏
页码:1373 / +
页数:3
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