Trajectory network assessment based on analysis of stay points cluster (2018)
- Authors:
- Autor USP: LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2018.00103
- Subjects: REDES COMPLEXAS; MINERAÇÃO DE DADOS
- Keywords: stay points; turning trajectories into networks
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Source:
- Título: Proceedings
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MINATEL, Diego e VALEJO, Alan e LOPES, Alneu de Andrade. Trajectory network assessment based on analysis of stay points cluster. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00103. Acesso em: 10 jan. 2026. -
APA
Minatel, D., Valejo, A., & Lopes, A. de A. (2018). Trajectory network assessment based on analysis of stay points cluster. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00103 -
NLM
Minatel D, Valejo A, Lopes A de A. Trajectory network assessment based on analysis of stay points cluster [Internet]. Proceedings. 2018 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/BRACIS.2018.00103 -
Vancouver
Minatel D, Valejo A, Lopes A de A. Trajectory network assessment based on analysis of stay points cluster [Internet]. Proceedings. 2018 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/BRACIS.2018.00103 - Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies
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Informações sobre o DOI: 10.1109/BRACIS.2018.00103 (Fonte: oaDOI API)
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