"A versatile computational framework for group pattern mining of pedestrian ..."

Abdullah M. Sawas et al. (2019)

> Home

Details and statistics

DOI: 10.1007/S10707-019-00353-2

access: closed

type: Journal Article

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/geoinformatica/SawasAAP19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/geoinformatica/SawasAAP19
Abdullah M. Sawas, Abdullah Abuolaim, Mahmoud Afifi, Manos Papagelis:
A versatile computational framework for group pattern mining of pedestrian trajectories. GeoInformatica 23(4): 501-531 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.