Deep generative models for time-series anomaly detection.
Time series analysis has become a prominent area of study driven by the explosive growth of data generation a trend that continues to accelerate. Real time anomaly detection in time series is a crucial and challenging problem. Behind an anomaly may lie an ongoing system attack, a potential failure t...
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| Main Author: | |
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| Format: | doctoralThesis |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.12008/49891 |
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