Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs-Reference-Cited by-同舟云学术

Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Baril Xavier¹,Coustié Oihana¹,Mothe Josiane²,Teste Olivier²

Affiliation:

1. Airbus, Toulouse, France

2. ESPE, UT2J, Univ. de Toulouse, IRIT, UMR5505 CNRS, Toulouse, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412157

Reference15 articles.

1. Andy Brown Aaron Tuor Brian Hutchinson and Nicole Nichols. 2018. Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR Vol. abs/1803.04967 (2018). arxiv: 1803.04967 Andy Brown Aaron Tuor Brian Hutchinson and Nicole Nichols. 2018. Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR Vol. abs/1803.04967 (2018). arxiv: 1803.04967

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