Mining spatial association rules can be used to discover the specific spatial relationship between spatial predicate and non-spatial predicate in the spatial database.
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。
The way of generating frequent candidate a nd pruning technology are difficult technical problem when prenest traditional association rules mining algorithm is used to spatial data mining.
现有的传统关联规则挖掘算法构建频繁候选项的方式和修剪技术是其应用于空间数据挖掘的技术难题。
This paper is focused on the methods of the construction of spatial transaction database, which is a crucial ste Pin the spatial association rules mining.
将空间数据库转换成空间事务数据库是空间关联规则挖掘过程的关键步骤。
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