Hierarchical trajectory clustering for spatio-temporal periodic pattern mining
作者：
Highlights：
• Propose a hierarchical trajectory clustering framework for periodic pattern mining.
• Propose a trajectory clustering approach that considers additional semantics.
• Extend the proposed clustering to take into account the sequence of trajectory.
• Overcome the drawbacks of traditional periodic pattern mining.
• Provide experimental results to demonstrate the versatility of proposed framework.
摘要
•Propose a hierarchical trajectory clustering framework for periodic pattern mining.•Propose a trajectory clustering approach that considers additional semantics.•Extend the proposed clustering to take into account the sequence of trajectory.•Overcome the drawbacks of traditional periodic pattern mining.•Provide experimental results to demonstrate the versatility of proposed framework.
论文关键词：Hierarchical trajectory clustering,Traclus,Periodic pattern mining,Reference spots,Single-linkage
论文评审过程：Received 1 April 2017, Revised 14 September 2017, Accepted 15 September 2017, Available online 18 September 2017, Version of Record 21 September 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.040
