摘要
空间关联规则挖掘可应用于发现空间数据库中大量空间谓词与非空间谓词之间的特定空间关系。论文针对区县道路交通数据提出了一种基于多最小支持度的空间关联规则挖掘算法,并给出了在GIS中进行空间关联规则挖掘的一般方法和流程。该挖掘算法可以从城市道路地理信息数据库中发现用户感兴趣的空间关联规则,经实际应用于城市道路规划管理系统,证明该算法是有效、可行的。
Mining spatial association rules can be predicate and nonspatial predicate in the spatial database. used to discover the special spatial relationship between spatial A multiple minimum supports-based algorithm for the discovery of spatial association rules was proposed, aiming at the read information of downtown area, and the general method of mining spatial association rules in GIS was presented. The algorithm can find the spatial association rules which users are interested in from city read geographical information database. Through the application in the city road planning and management system, the algorithm is proved to be effective and viable.
出处
《计算机应用》
CSCD
北大核心
2005年第9期2171-2174,共4页
journal of Computer Applications
基金
上海市科学技术委员会科研计划项目(042112060)
关键词
空间关联规则
GIS
空间聚类
多最小支持度
最大频繁项目集
spatial association rules
GIS
spatial clustering
multiple minimum supports
maximum frequent itemset
