1. SaRLog: Semantic-aware robust log anomaly detection via BERT-augmented contrastive learning;Adeba;IEEE Internet of Things Journal,2024
2. Experience report: Log mining using natural language processing and application to anomaly detection;Bertero,2017
3. Anomaly detection from log files using data mining techniques;Breier,2015
4. An empirical investigation of incident triage for online service systems;Chen,2019
5. Chen, Y., Yang, X., Dong, H., He, X., Zhang, H., Lin, Q., et al. (2020). Identifying linked incidents in large-scale online service systems. In Proceedings of the 28th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering (pp. 304–314).