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An Association Based Approach to Discovering Ordering Rules
Liu Dazhong *
School of Mathematics and Computer Science,
*Correspondence author
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Funding: 国家自然科学基金（No.70571021）
Opened online:25 October 2006
Accepted by: none
Citation: Liu Dazhong .An Association Based Approach to Discovering Ordering Rules[OL]. [25 October 2006] http://en.paper.edu.cn/en_releasepaper/content/8990
 
 
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
 
 
 

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