Mining positive and negative association rules

IR > 计算机与通信学院

	Mining positive and negative association rules
	Zhu, Honglei; Xu, Zhigang
	2008
会议录名称	38th International Conference on Computers and Industrial Engineering 2008
卷号	3
页码	2748-2752
出版者	Computers and Industrial Engineering
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. Copyright©(2008) by Computers & Industrial Engineering.
关键词	Correlation methods Data mining Correlation coefficient Effectiveness and efficiencies Frequent itemset Minimum support thresholds Mining methods Negative association rules Pruning Pruning strategy
收录类别	EI
语种	英语
EI入藏号	20134817038204
EI主题词	Association rules
来源库	Compendex
分类代码	723.2 Data Processing and Image Processing - 903.1 Information Sources and Analysis - 922.2 Mathematical Statistics
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116843
专题	计算机与通信学院
作者单位	School of Computer and Communication, Lanzhou University of Technology GS, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhu, Honglei,Xu, Zhigang. Mining positive and negative association rules[C]:Computers and Industrial Engineering,2008:2748-2752.