摘要
空间数据挖掘中所依赖的空间相关性是由空间关联规则描述的。研究了事务集为粗糙集时空间关联规则支持度和可信度的计算方法;提出了当事务集为粗糙集、空间数据为模糊数据时的模糊粗糙关联规则。同时,推导了空间关联规则的支持度和可信度的变化规律。
The spatial dependence in data mining is normally represented by spatial association rules, which provide the critical information in assessing spatial correlations in large spatial databases. This paper improves the calculation method of support and colafidence of spatial association rule when the set of transactions is a rough set, and puts forward the way of spatial data mining spatial association rule when the set of transactions is a rough set and the spatial data are fuzzy. At the same time, varying laws of support and confidence are studied while deducing new spatial association rules.
出处
《测绘科学技术学报》
北大核心
2007年第2期93-96,共4页
Journal of Geomatics Science and Technology
基金
国家自然科学基金资助(40471109)
山东省自然科学基金资助(03BS148)
关键词
空间关联规则
支持度
可信度
空间数据库
spatial association rule
support
confidence
spatial database
