MINING MULTILEVEL ASSOCIATION RULES WITH DYNAMIC CONCEPT HIERARCHY

摘要：

Association rule mining has attracted wide attention in both research and application areas recently. The mining of multilevel association rules is one of the important branches of it. In most of the studies, multilevel rules will be mined through repeated mining from databases or mining the rules at each individually levels, it affects the efficiency, integrality and accuracy. In this paper, a novel method is proposed to improve this situation by analyzing the rules mined from primitive concept level to obtain multilevel rules. The proposed method also supports dynamic concept hierarchies.

关键词： Rule mining Association rules Multi-level association rules FP-tree Concept hierarchy

作者: YIN-BO WAN YONG LIANG LI-YA DING

作者单位: Macau University of Science and Technology

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: 287-292

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）