Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network's Big Data

The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstrates the uses of location-based social network'...

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Detalles Bibliográficos
Autores principales: Hou, Li, Liu, Qi, Nebhen, Jamel, Uddin, Mueen, Ullah, Mujahid, Khan, Naimat Ullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651366/
https://www.ncbi.nlm.nih.gov/pubmed/34887940
http://dx.doi.org/10.1155/2021/6323357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651366/
https://www.ncbi.nlm.nih.gov/pubmed/34887940
http://dx.doi.org/10.1155/2021/6323357

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