摘要
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。
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 rulles.
出处
《地理空间信息》
2008年第5期18-21,共4页
Geospatial Information
基金
教育部地理信息系统重点实验室开放资金资助项目(WD200610)
关键词
空间数据挖掘
空间关联规则
时序关联
算法
spatial data mining
spatial association rule
time serial association
algorithm
