BERT-Log: Anomaly Detection for System Logs Based on Pre-trained Language Model
Logs are primary information resource for fault diagnosis and anomaly detection in large-scale computer systems, but it is hard to classify anomalies from system logs. Recent studies focus on extracting semantic information from unstructured log messages and converting it into word vectors. Therefor...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2022.2145642 |