Mining quantitative association rules on overlapped intervals

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	Mining quantitative association rules on overlapped intervals
	Tong, Q ; Yan, BP ; Zhou, YC
刊名	ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS
	2005
卷号	3584 页码:43-50
ISSN号	0302-9743
英文摘要	Mining association rules is an important problem in data mining. Algorithms for mining boolean data have been well studied and documented, but they cannot deal with quantitative and categorical data directly. For quantitative attributes, the general idea is partitioning the domain of a quantitative attribute into intervals, and applying boolean algorithms to the intervals. But, there is a conflict between the minimum support problem and the minimum confidence problem, while existing partitioning methods cannot avoid the conflict. Moreover, we expect the intervals to be meaningful. Clustering in data mining is a discovery process which groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. The discovered clusters are used to explain the characteristics of the data distribution. The present paper will propose a novel method to find quantitative association rules by clustering the transactions of a database into clusters and projecting the clusters into the domains of the quantitative attributes to form meaningful intervals which may be overlapped. Experimental results show that our approach can efficiently find quantitative association rules, and can find important association rules which may be missed by the previous algorithms.
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER-VERLAG BERLIN
WOS记录号	WOS:000230895000007
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/10017]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tong, Q
作者单位	1.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China 2.Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Tong, Q,Yan, BP,Zhou, YC. Mining quantitative association rules on overlapped intervals[J]. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS,2005,3584:43-50.
APA	Tong, Q,Yan, BP,&Zhou, YC.(2005).Mining quantitative association rules on overlapped intervals.ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS,3584,43-50.
MLA	Tong, Q,et al."Mining quantitative association rules on overlapped intervals".ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS 3584(2005):43-50.