Contextual anomaly detection on time series: a case study of metro ridership analysis

Kevin Pasini, Mostepha Khouadjia, Allou Same, Martin Trépanier and Latifa Oukhellou

Article (2022)

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Department:	Department of Mathematics and Industrial Engineering
Research Center:	CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
PolyPublie URL:	https://publications.polymtl.ca/50019/
Journal Title:	Neural Computing and Applications (vol. 34, no. 2)
Publisher:	Springer Science and Business Media Deutschland GmbH
DOI:	10.1007/s00521-021-06455-z
Official URL:	https://doi.org/10.1007/s00521-021-06455-z
Date Deposited:	18 Apr 2023 14:59
Last Modified:	25 Sep 2024 16:39

Cite in APA 7:	Pasini, K., Khouadjia, M., Same, A., Trépanier, M., & Oukhellou, L. (2022). Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Computing and Applications, 34(2), 1483-1507. https://doi.org/10.1007/s00521-021-06455-z
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