基于决策表的加权决策规则挖掘算法

Mining Algorithm of Weighted-decision-rules Based on Decision Table

决策规则是一种重要的知识表示方式，粗糙集理论是一种重要的数据挖掘方法。因此，随着对粗糙集理论的深入研究，利用粗糙集进行决策表中的决策规则挖掘便成了一个热点课题。通过对规则支持度提出新的定义，对现有的模型进行了扩展，并由此提出了一种新的决策规则挖掘算法，实验结果表明了其有效性。

Decision rule is an important way of denoting knowledge and rough set theory (RS) is an important method of carrying out data mining. So, along with further studies of RS, decision rules mining in decision table by using RS has become a hotspot. This paper gives the rule-support degree a new definition, extends present models and brings forward an algorithm of mining weighted-decision-rules, the result of the experiment shows its effectivity.