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Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions.
Mohammed Ayalew Belay
Sindre Stenen Blakseth
Adil Rasheed
Pierluigi Salvo Rossi
Published in:
Sensors (2023)
Keyphrases
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future directions
multivariate time series
lessons learned
unsupervised anomaly detection
anomaly detection
current challenges
current status
multivariate time series data
dimension reduction
computer vision
case study
training set
autoregressive