Author:
Xie Yongzheng,Zhang Hongyu,Zhang Bo,Babar Muhammad Ali,Lu Sha
Publisher
Springer International Publishing
Reference15 articles.
1. Lou, J.G., Fu, Q., Yang, S., Xu, Y., Li, J.: Mining invariants from console logs for system problem detection. In: USENIX Annual Technical Conference (2010)
2. He, S., Zhu, J., He, P., Lyu, M.: Experience report: system log analysis for anomaly detection. In: ISSRE, pp. 207–218. IEEE (2016)
3. Zhang, B., Zhang, H., Moscato, P., Zhang, A.: Anomaly detection via mining numerical workflow relations from logs. In: SRDS. IEEE (2020)
4. Du, M., Li, F., Zheng, G., Srikumar, V.: Deeplog: anomaly detection and diagnosis from system logs through deep learning. In: CCS (2017)
5. Meng, W., et al.: Loganomaly: unsupervised detection of sequential and quantitative anomalies in unstructured logs. In: IJCAI 2019, pp. 4739–4745 (2019)
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