Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering

Mobile and wearable devices are capable of quantifying user behaviors based on their contextual sensor data. However, few indexing and annotation mechanisms are available, due to difficulties inherent in raw multivariate data types and the relative sparsity of sensor data. These issues have slowed t...

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Detalles Bibliográficos
Autores principales: Rawassizadeh, Reza, Dobbins, Chelsea, Akbari, Mohammad, Pazzani, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387349/
https://www.ncbi.nlm.nih.gov/pubmed/30678263
http://dx.doi.org/10.3390/s19030448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387349/
https://www.ncbi.nlm.nih.gov/pubmed/30678263
http://dx.doi.org/10.3390/s19030448

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