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Geo-SigSPM: mining geographically interesting and significant sequential patterns from trajectories
International Journal of Geographical Information Science ( IF 5.7 ) Pub Date : 2024-02-29 , DOI: 10.1080/13658816.2024.2320149 Anshu Zhang 1, 2 , Wenzhong Shi 1, 2 , Zhewei Liu 2, 3 , Xiaolin Zhou 2
International Journal of Geographical Information Science ( IF 5.7 ) Pub Date : 2024-02-29 , DOI: 10.1080/13658816.2024.2320149 Anshu Zhang 1, 2 , Wenzhong Shi 1, 2 , Zhewei Liu 2, 3 , Xiaolin Zhou 2
Affiliation
Interesting sequential patterns in human movement trajectories can provide valuable knowledge for urban management, planning, and location-based business. Existing methods for mining such patterns,...
中文翻译：
Geo-SigSPM：从轨迹中挖掘地理上有趣且重要的序列模式
人类运动轨迹中有趣的连续模式可以为城市管理、规划和基于位置的业务提供宝贵的知识。挖掘此类模式的现有方法......
更新日期：2024-02-29
中文翻译：
Geo-SigSPM：从轨迹中挖掘地理上有趣且重要的序列模式
人类运动轨迹中有趣的连续模式可以为城市管理、规划和基于位置的业务提供宝贵的知识。挖掘此类模式的现有方法......
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