摘要
提出了一种面向主题的基于多层次空间概念的关联规则挖掘算法FT_MLSAM。在FT_MLSAM算法中,先根据用户感兴趣的主题确定挖掘的概念关系,然后对所涉及的多个空间数据层进行连接,生成空间视图,最后进行属性泛化,转化成一般属性关联规则的挖掘,实验证明算法是有效的。
In this paper, an algorithm of mining multi-level spatial association rules is presented which＇ s based on theme. We called the algorithm as FT_MLSAM in the paper. In FT_MLSAM, it first constructs the concept relation based on the thems on which the user is interested. Second, it joins the spatial layers which are used in the data mining. Last it turns spatial association mining into association mining by attribute generalizing. It is proved right from the experiment.
出处
《遥感学报》
EI
CSCD
北大核心
2006年第3期289-293,共5页
NATIONAL REMOTE SENSING BULLETIN
基金
测绘遥感信息工程国家重点实验室开放基金资助项目(03-0101)
武汉大学博士启动基金资助
关键词
数据挖掘
空间关联规则
面向主题
多概念层次
data,mining
spatial association rule
based on thematic
multi-layer spatial concept lattice
