摘要
从理论扩展、属性约简以及规则抽取对目前基于RoughSet(RS)理论的不完备信息系统处理方法进行了分析和评述,提出了该领域的下一步研究方向,为构造面向不完备信息系统的高效实用的挖掘方法提供了基础。
How to deal with missing values of information system is an important part of data mining. Recent methods based on rough set for incomplete information system are introduced and analyzed from three aspects, extension of rough set theory, attribute reduction and rule extraction. Future research directions are also proposed. This paper provides the basis for seeking efficient mining algorithm for incomplete information systems.
出处
《华东理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第2期227-231,共5页
Journal of East China University of Science and Technology
关键词
数据挖掘
RS理论
不完备信息系统
属性约简
规则抽取
data mining
rough set theory
incomplete information system
attribute reduction
rule extraction
