摘要
为改善概念格对不确定性形式背景的处理,在分析现有概念格及其改进模型的基础上,将云模型引入概念格,提出一种新的格结构——云概念格,通过云形式背景实现了多值背景与单值背景、不确定性背景与精确背景的统一。同时证明了云概念格的若干性质,讨论了云概念格在数据挖掘中的应用,并结合实例给出基于云概念格的关联规则挖掘算法。
In order to improve the process of concept lattice to the uncertain formal context, based on the analysis of the existing concept lattice and its improved model, cloud model is introduced into the research of concept lattice. A novel lattice is proposed, which is called cloud concept lattice, this lattice unifies binary and multi-valued context, uncertain and certain context. And qualities of cloud concept lattice are proved. Application in data mining is discussed. Based on cloud concept lattice, a novel algorithm ofassociation rule mining is proposed with an example.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第16期56-59,共4页
Computer Engineering
基金
国家"973"计划基金资助项目(2006CB701305)
中科院资源与环境信息系统国家重点实验开放基金资助项目(A0628)
湛江师范学院科研基金资助项目(QL0606)
关键词
云模型
概念格
模糊概念格
粗糙集
数据挖掘
cloud model
concept lattice
fuzzy concept lattice
rough set
data mining
