时序空间关联规则挖掘及其应用研究

空间关联规则挖掘是空间数据挖掘的重要内容，文中给出了时序空间关联规则挖掘的相关概念、原理及实现（算法），研究了时序空间关联规则挖掘数据集的构造方法，提出通过空间实体关联关系和时间项转置方法将处于不同时刻的、相互独立的空间数据集进行重构，生成隐含了时序空间关联特征的挖掘数据集，进而可应用关联规则挖掘算法获取时序空间关联知识，初步进行了时序空间关联规则挖掘的应用研究。

Time-serial Spatial Association Data Mining and Its Applications

Spatial association data mining is an important area of spatial data mining. This paper presented the basic concepts,principle and algorithm of time-serial spatial association data mining. By applying association relationship between spatial entities and item-time transmitting,the dependent datasets at difference times could be integrated into a new dataset (N-dataset) which contained the sequential information of the original datasets. Available association rule mining algorithms could be easily applied to the N-dataset to extract time-serial spatial association rules.