LARA : A light and anti-overfitting retraining approach for unsupervised time series anomaly detection
Most of current anomaly detection models assume that the normal pattern remains the same all the time. However, the normal patterns of web services can change dramatically and frequently over time. The model trained on old-distribution data becomes outdated and ineffective after such changes. Retrai...
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| Main Authors: | , , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2025
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/9757 https://ink.library.smu.edu.sg/context/sis_research/article/10757/viewcontent/2310.05668v4.pdf |
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| Institution: | Singapore Management University |
| Language: | English |