基于粗糙集的数据挖掘方法分析

Data Extraction Based on Rough Set

文章从数据挖掘和粗糙集的基本概念出发,研究粗糙集理论在数据挖掘中的典型运用,为大型数据挖掘提供了一种新的方法。基于粗糙集的数据挖掘,首先通过粗糙集理论对数据进行预处理,然后对属性约简,最后进行决策规则提取,寻找最优解。

Based on the theory of data extraction and rough set,this article tries to study typical application of rough set in data extraction and introduce a new approach for data mining.First of all,we retreats our data with rough set,and then reduce attributes,finally we extract the best rule of decision.