User Identification across Asynchronous Mobility Trajectories

With the popularity of location-based services and applications, a large amount of mobility data has been generated. Identification through mobile trajectory information, especially asynchronous trajectory data has raised great concerns in social security prevention and control. This paper advocates...

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Detalles Bibliográficos
Autores principales: Qi, Mengjun, Wang, Zhongyuan, He, Zheng, Shao, Zhenfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539004/
https://www.ncbi.nlm.nih.gov/pubmed/31067660
http://dx.doi.org/10.3390/s19092102

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539004/
https://www.ncbi.nlm.nih.gov/pubmed/31067660
http://dx.doi.org/10.3390/s19092102

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