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Mining distinct and contiguous sequential patterns from large vehicle trajectories

  • Published:2020-02 Issue: Volume:189 Page:105076
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Bermingham Luke,Lee Ickjai

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference44 articles.

1. Urban computing: Concepts, methodologies, and applications;Zheng;ACM Trans. Intell. Syst. Technol.,2014

2. Discovering popular routes from trajectories;Chen,2011

3. Urban traffic congestion estimation and prediction based on floating car trajectory data;Kong;Future Gener. Comput. Syst.,2016

4. Clustering of vehicle trajectories;Atev;IEEE Trans. Intell. Transp. Syst.,2010

5. Discovering popular routes from trajectories;Chen,2011

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Targeted mining of contiguous sequential patterns;Information Sciences;2024-01

2. Towards utility-driven contiguous sequential patterns in uncertain multi-sequences;Knowledge-Based Systems;2024-01

3. CCSMP: an efficient closed contiguous sequential pattern mining algorithm with a pattern relation graph;Applied Intelligence;2023-11-03

4. Towards Contiguous Sequences in Uncertain Data;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09

5. Incremental Targeted Mining in Sequences;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09
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