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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
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 the ordering rules mined by our method are comprehensive and more interesting.
Keywords:Association rules, Data mining, Ordinal rules, Ordinal information table