一种基于Rough集的缺省规则挖掘算法

AN ALGORITHM BASED ON ROUGH SET FOR MINING DEFAULT RULES

Rough集方法是一种处理不确定或模糊知识的重要工具 .对基于 Rough集理论的缺省规则挖掘算法进行研究 ,在引入规则支持度概念后 ,提出了一种基于 Rough集的缺省规则挖掘算法 MDRBR.实验结果表明 ,该算法能较好地过滤噪音 ,提高规则的挖掘效率 .

The rough set approach is an important tool to deal with uncertain or vague knowledge in AI applications. In this paper, the rough set theory is deeply researched, and an algorithm MDRBR for mining default rules based on rough set theory is proposed. Experimental result shows that this algorithm can effectively filter noise and solve the problem of time consuming data mining of default rules.