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CLUSTMOSA: Clustering for GPS trajectory data based on multi-objective simulated annealing to develop mobility application

  • Published:2022-11 Issue: Volume:130 Page:109655
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Dutta SumantoORCID,Das AnimeshORCID,Patra Bidyut Kr.ORCID

Funder

Science and Engineering Research Board

Publisher

Elsevier BV

Subject

Software

Reference64 articles.

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

2. Clustering and aggregating clues of trajectories for mining trajectory patterns and routes;Hung;The VLDB J.,2015

3. Trajectory data mining: An overview;Zheng;ACM Trans. Intell. Syst. Technol.,2015

4. Mining interesting locations and travel sequences from GPS trajectories;Zheng,2009

5. An improved DBSCAN algorithm to detect stops in individual trajectories;Luo;ISPRS Int. J. Geo-Inform.,2017

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