基于粗糙集的规则的挖掘

随着计算机技术的发展，急剧产生海量的数据。如何从这些数据中提取有用的信息是一个重要的问题。一种新的数据分析方法——粗糙集理论被提出。该理论在分类的意义下定义了模糊性和不确定性的概念，是一种处理不确定和不精确问题的新型数学工具。文中首先对近年兴起的粗糙集的基本理论进行了讨论，在此基础上运用粗糙集理论对从数据库中规则的挖掘方法进行了研究。并通过一个实例详细地说明了具体挖掘过程，该实例说明了基于粗糙集进行规则的挖掘是较简单的。

Rule Mining Based on Rough Set

The volume of data being generated nowadays is increasingly large.How to extract useful information from such data collections is an important issue.A promising technique is the Rough Set theory,a new mathematical approach to data analysis based on classification of objects into similarity classes which are indiscernible with respect to some features.In this paper,basic theory of rough set is presented,followed by a new heuristic approach for rule induction,and the procedure of rule mining is illuminated using an example.It is simple for rule mining based on rough set by the example.