摘要
粗糙集理论是一种进行数据挖掘的新的重要工具。针对传统粗糙集理论在数据挖掘应用方面的不足提出了有效度(可靠度)的概念,并给出了一种关于有效决策的增式生成法。实例表明,该算法具备处理大数据库和动态递增数据的功能,可有效地过滤噪声,提高了规则的挖掘效率。
Rough set is a new and important method in data mining.This paper,efficacy is defined to make up drawhacks of normal Rough Set method in data mining,and gives an algorithm for incremental generation about effective decision.Experiment results show that the algorithm have abilities of handling data in large database and processing dynamic data effectively,and can effectively filter out noise and improve efficiency of existing algorithms for mining default rules.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第36期162-164,171,共4页
Computer Engineering and Applications
关键词
粗糙集
数据挖掘
不一致信息系统
有效度
有效决策
Rough Set
data mining
inconsistent information system
efficacy
effective decision
