期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2014
卷号：8
期号：1
页码：167-180
DOI：10.14257/ijseia.2014.8.1.15
出版社：SERSC
摘要：Mining least association rules has received a great attention from the past decades. However, no current research has been specifically performed for visualizing these types of rules. In this paper, a model for visualizing critical least association rules is presented. The proposed model contains five main steps, including scanning dataset, constructing Least Pattern Tree (LP-Tree), applying Critical Relative Support (CRS), capturing Critical Least Association Rules and finally visualizing the respective rules
