AN ASSOCIATION BASED APPROACH TO DISCOVERING ORDERING RULES

摘要：

The work presented in this paper focuses on discovering ordering rules between ordinal attributes. Generally speaking, rough set theory is the foundation of many algorithms of mining ordering rules. We provide a new approach using algorithm of mining association rules to solve this problem. The key to the problem is to transform information tables into transaction database. The comparison results demonstrate that our method can find more interesting ordering rules.

关键词： Data mining Association rules Ordinal rules Ordinal information table

作者: DA-ZHONG LIU YUAN GAO JIAN-PING ZHAO

作者单位: School of Mathematics and Computer Science, Baoding, Hebei University , 071002 P.R.China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 202-205

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）