Automated Log-Based Anomaly Detection under Noise Circumstances

Author:

Zhu Yujia1,Min Geyong1,Wu Yulei1,Wang Haozhe1

Affiliation:

1. University of Exeter,Falcuty of Environment, Science and Economy,Department of Computer Science,Exeter,United Kingdom,EX4 4QF

Publisher

IEEE

Reference19 articles.

1. Log-based anomaly detection with deep learning

2. Robust log-based anomaly detection on unstable log data

3. Deep subspace clustering networks;Ji;Advances in Neural Information Processing Systems,2017

4. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion;Vincent;Journal of Machine Learning Research,2010

5. A data clustering algorithm for mining patterns from event logs

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