Anomaly Detection in Multi-Seasonal Time Series Data
Most of today’s time series data contain anomalies and multiple seasonalities, and accurate anomaly detection in these data is critical to almost any type of business. However, most mainstream forecasting models used for anomaly detection can only incorporate one or no seasonal component...
| Published in: | IEEE Access |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10256098/ |