SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults
Author:
Funder
Research and Development
Natural Science Foundation of Guangdong Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9250925/9250926/09251078.pdf?arnumber=9251078
Cited by 68 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11
2. IPLog: An Efficient Log Parsing Method Based on Few-Shot Learning;Electronics;2024-08-21
3. ContexLog: Non-Parsing Log Anomaly Detection With All Information Preservation and Enhanced Contextual Representation;IEEE Transactions on Network and Service Management;2024-08
4. Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction;Empirical Software Engineering;2024-06-20
5. PreLog: A Pre-trained Model for Log Analytics;Proceedings of the ACM on Management of Data;2024-05-29
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