Funder
National Science Foundation: NSF
French National Research Agency
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Information Systems
Reference36 articles.
1. Aubet F-X, Zügner D, Gasthaus J (2021) Monte Carlo EM for deep time series anomaly detection. arXiv:2112.14436 [cs, stat]
2. Audibert J, Marti S, Guyard F, Zuluaga MA (2021) From univariate to multivariate time series anomaly detection with non-local information. In: Lemaire V, Malinowski S, Bagnall A et al (eds) Advanced analytics and learning on temporal data. Springer International Publishing, Cham, pp 186–194
3. Boniol P, Linardi M, Roncallo F et al (2021a) Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J 30:909–931. https://doi.org/10.1007/s00778-021-00655-8
4. Boniol P, Paparrizos J, Palpanas T, Franklin MJ (2021b) SAND: streaming subsequence anomaly detection. Proc VLDB Endow 14:1717–1729
5. Case Western Reserve University Bearing Data Center (2021) Available: https://csegroups.case.edu/bearingdatacenter/home. Accessed: Nov. 15, 2021
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