STCCD: Semantic trajectory clustering based on community detection in networks

作者：

Highlights：

• Proposing a framework for semantic trajectory clustering based on community detection.

• Introducing the ontology theory to semantic trajectory similarity computation.

• Constructing a trajectory network according to the semantic trajectory similarity.

• Conducting extensive studies and analyses on three real world trajectory datasets.

• Comparing the proposed method with some traditional and recently proposed methods.

摘要

•Proposing a framework for semantic trajectory clustering based on community detection.•Introducing the ontology theory to semantic trajectory similarity computation.•Constructing a trajectory network according to the semantic trajectory similarity.•Conducting extensive studies and analyses on three real world trajectory datasets.•Comparing the proposed method with some traditional and recently proposed methods.

论文关键词：Trajectory clustering,Trajectory similarity,Complex network,Community detection

论文评审过程：Received 9 February 2020, Revised 21 June 2020, Accepted 21 June 2020, Available online 30 June 2020, Version of Record 3 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113689