摘要
数据挖掘技术是信息系统的一个重要研究内容 ,它可以从大量数据中自动发现对决策有帮助的知识。许多数据挖掘技术仅仅适用于精确集 ,不适用于粗糙集 ,而现实中粗糙集是普遍存在的现象 ,因此开发出一种面向粗糙集的数据挖掘技术在信息系统的研究领域具有重要意义。本文结合粗糙集理论提出了一个信息系统的粗糙集模型 ,在此基础上设计出一个属性约简方法及从粗糙集中发现规则的算法 :Apriori_2。
Data Mining is an important research topic in information system,which can discover knowledge automatically from large amounts of data,and the knowledge is helpful in decision making.Some traditional method of data mining is only suitable for precise set,not for rough set.Since many set of data in real life is rough,the method of rough set oriented data mining plays an important role in information system.In this paper,a rough set model of information system is proposed,a method of attribute reducing is developed,and an algorithm of mining rules from rough set,Apriori_2,is presented on basis of rough set model.
出处
《情报学报》
CSSCI
北大核心
2001年第1期90-99,共10页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金项目资助 !批准号 :70 0 710 0 8
