MINING POSITIVE AND NEGATIVE ASSOCIATION RULES

	MINING POSITIVE AND NEGATIVE ASSOCIATION RULES
	Zhu, Honglei; Xu, Zhigang
	2008
关键词	Data Mining Association Rule Frequent Itemset Correlation Pruning
页码	2748-2752
英文摘要	Recently, mining negative association rules has received some attention and been proved to be useful in real world. This paper presents an efficient algorithm(PNAR) for mining both positive and negative association rules in databases. The algorithm extends traditional association rules to include negative association rules. When mining negative association rules, we adopt another minimum support threshold to mine frequent negative itemsets. With a correlation coefficient measure and pruning strategies,, the algorithm can find all valid association rules quickly and overcome some limitations of the previous mining methods. The experimental results demonstrate its effectiveness and efficiency.
会议录	PROCEEDINGS OF THE 38TH INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3
会议录出版者	PUBLISHING HOUSE ELECTRONICS INDUSTRY
会议录出版地	PO BOX 173 WANSHOU ROAD, BEIJING 100036, PEOPLES R CHINA
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000262289601106
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37991]
专题	计算机与通信学院
通讯作者	Zhu, Honglei
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Gs, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Honglei,Xu, Zhigang. MINING POSITIVE AND NEGATIVE ASSOCIATION RULES[C]. 见:.