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	Association Rule Mining on Spatio-temporal Processes
	Zhang X. W. ; Su F. Z. ; Du Y. Y. ; Shi Y. S. ; Ieee
	2008
关键词	GIS data mining association rule spatio-temporal process spatio-temporal process association rule discovery databases
页码	11296-11299
英文摘要	Entities in the real world evolve along the time-line from the start time point to the future in mufti-dimensions space. The spatio-temporal process composed of meta-spatio-temporal processes, is bought out and used to describe this change process. The traditional association rule mining is extended to spatio-temporal processes, generating spatio-temporal process association rule mining which is used to extract association knowledge among spatio-temporal process data. Change processes of the western Pacific Ocean warm pool and rainfall of southeast area of China are the typical spatio-temporal processes, and relation between them is a remote relation. Based on spatio-temporal process association rule mining, we obtain some interesting association rules between change processes of them. Finally, it is concluded that spatio-temporal association rule mining can extract valuable association knowledge from spatio-temporal processes, and change trend of one entity or phenomenon can be forecasted through varying trend of others based on those association rules.
收录类别	CPCI
会议录出版者	Ieee
语种	英语
ISBN号	978-1-4244-2107-7
内容类型	会议论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/25406]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhang X. W.,Su F. Z.,Du Y. Y.,et al. Association Rule Mining on Spatio-temporal Processes[C]. 见:.

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