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Fast, robust, and accurate anomaly detection for multivariate time series
Simone Tonini
, Andrea Vandin
,
Francesca Chiaromonte
, Daniele Licari
, Fernando Barsacchi
Statistics
Department of Public Health Sciences
Huck Institutes of the Life Sciences
Research output
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Contribution to journal
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Article
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peer-review
Overview
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Dive into the research topics of 'Fast, robust, and accurate anomaly detection for multivariate time series'. Together they form a unique fingerprint.
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Keyphrases
Anomaly Detection
100%
Multivariate Time Series
100%
Industrial Partner
16%
Long-lived
16%
Simulation Study
16%
Low Computational Complexity
16%
Computational Cost
16%
Multicollinearity
16%
Computer Science
16%
Computational Performance
16%
Unknown Distribution
16%
Benchmark Dataset
16%
Challenging Contexts
16%
Threshold Selection
16%
Semi-supervised Method
16%
Computer Science
Anomaly Detection
100%
Multivariate Time Series
100%
Computational Cost
33%
Case Study
16%
Interpretability
16%
Supervised Method
16%
Simulation Study
16%
Recent Literature
16%
Computer Science
16%
Literature Review
16%
Economics, Econometrics and Finance
Time Series
100%