Association Rule Mining on Spatio-temporal Processes
文献类型：会议论文
| 作者 | Zhang X. W. ; Su F. Z. ; Du Y. Y. ; Shi Y. S. ; Ieee |
| 出版日期 | 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 |
| 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:. |
入库方式： OAI收割
来源：地理科学与资源研究所
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