时空轨迹聚集模式挖掘研究进展

时空轨迹聚集模式是指一组时空移动对象在一定时间内一起移动形成的行为模式. 作为一种重要的时空轨迹模式，聚集模式的应用涉及了人类行为、交通物流、应急疏散管理、动物习性和市场营销等诸多方面. 通过对时空轨迹数据进行挖掘，可以从中提取出有意义的聚集模式，从而帮助我们监控和预测一些不寻常的群体事件. 本文综述了时空轨迹聚集模式的研究进展，首先，给出了聚集模式的分类；然后介绍了各种聚集模式的挖掘算法，并对其特点进行分析和评述；最后讨论了现有方法面临的主要问题和挑战，并对聚集模式的研究进行了展望.
The gathering pattern of spatio-temporal trajectory is a behavior pattern of a set of spatio-temporal moving objects，moving together within a certain period of time. As an important pattern of spatio-temporal trajectory，the application range of gathering patterns covers human behavior，transport and logistics，emergency evacuation management，animal behavior，marketing and many other fields. Through mining the spatio-temporal trajectory data，we can discover meaningful gathering patterns to help us monitor and predict some unusual group incidents. This paper summarizes the research progress of mining of gathering pattern in spatio-temporal trajectory systematically. Firstly，we give the classification of gathering pattern. Afterwards，we introduce the mining algorithms of gathering patterns respectively，and also analyse and review its characteristics. Finally，we discuss the major issues and challenges faced by existing methods，in addition，outlook the research of mining gathering patterns