一种基于粗糙集理论的启发式分类规则挖掘算法

A Heuristic Data Mining Algorithm Based on Rough Set for Classification Rules Extraction

粗糙集理论是一种新的数据挖掘算法,文章以属性依赖重要性作为启发信息提出了一种新的属性约简算法,且加入了一定的分类正确度。最后通过一个实例完整演示了本方法,证实其有效性。

Rough set is a new data mining algorithm. In this paper,we propose a new attributes reduction algorithm based on the significance of attribute dependencies as heuristic information and add a certain variable precision. At last, a practical example is given to illustrate the proposed method and verifies its effectiveness.