摘要
概念格理论是一种有效的知识表示与知识发现的工具,已被成功应用于许多领域。介绍了国内外现有的建格算法及概念格上分类规则和关联规则提取方法,比较了各种建格算法的优缺点,讨论了概念格属性约简理论的研究方法和研究进展。另外,还介绍了概念格在数据挖掘、信息检索、软件工程等领域的应用,给出了与粗糙集的关系及其它的一些研究成果。最后,给出了概念格有待完善的研究领域。
Concept lattice is an effective tool for knowledge processing and knowledge discovery is successfully applied to many fields. The algorithms of building lattices at home and abroad is introduced, merits and drawbacks of these algorithms is compared, classification rules and association rules on concept lattices are discussed. The research progress of attribute reduction theory is given. Furthermore, the application of concept lattice in data mining, information retrieval and software engineer etc is also introduced, the relation about rough set and concept lattice is proposed. At last, the research fields needed to be further improved is given.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第20期5293-5296,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(60603090)
关键词
概念格
建格
知识约简
粗糙集
concept lattice
lattices building
knowledge reduction
rough set
