Mining place-matching patterns from spatio-temporal trajectories using complex real-world places
作者：
Highlights：
• Propose a framework to find stop episodes from spatio-temporal trajectories.
• Incorporate relevant real places from OpenStreetMap for place matching.
• Propose a place matching algorithm that overcomes the place ambiguity issue.
• Provide experimental results supporting the effectiveness of proposed method.
• Provide a case study demonstrating the validity of proposed framework.
摘要
•Propose a framework to find stop episodes from spatio-temporal trajectories.•Incorporate relevant real places from OpenStreetMap for place matching.•Propose a place matching algorithm that overcomes the place ambiguity issue.•Provide experimental results supporting the effectiveness of proposed method.•Provide a case study demonstrating the validity of proposed framework.
论文关键词：Trajectory,Semantic patterns,Place-matching,Data mining,Place ambiguity
论文评审过程：Received 19 June 2018, Revised 14 November 2018, Accepted 6 January 2019, Available online 7 January 2019, Version of Record 11 January 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.027
