An Online Method to Detect Urban Computing Outliers via Higher-Order Singular Value Decomposition

Here we propose an online method to explore the multiway nature of urban spaces data for outlier detection based on higher-order singular value tensor decomposition. Our proposal has two sequential steps: (i) the offline modeling step, where we model the outliers detection problem as a system; and (...

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Detalles Bibliográficos
Autores principales: Souza, Thiago, Aquino, Andre L. L., Gomes, Danielo G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832166/
https://www.ncbi.nlm.nih.gov/pubmed/31618884
http://dx.doi.org/10.3390/s19204464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832166/
https://www.ncbi.nlm.nih.gov/pubmed/31618884
http://dx.doi.org/10.3390/s19204464

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