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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
【摘要】 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。
【Abstract】 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.
【关键词】 粗糙集;
分类正确度;
属性依赖度;
约简;
分类;
【Key words】 rough set; variable precision; attribute dependencies; reduction; classification;
【Key words】 rough set; variable precision; attribute dependencies; reduction; classification;
【基金】 山西自然科学基金项目(20041047)
- 【文献出处】 太原理工大学学报 ,Journal of Taiyuan University of Technology , 编辑部邮箱 ,2005年02期
- 【分类号】TP311.13
- 【被引频次】5
- 【下载频次】167