Real-time Statistical Log Anomaly Detection with Continuous AIOps Learning-Reference-Cited by-同舟云学术

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Real-time Statistical Log Anomaly Detection with Continuous AIOps Learning

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Conference on Cloud Computing and Services Science
language:
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Author:

An Lu¹,Tu An-Jie¹,Liu Xiaotong¹,Akkiraju Rama¹

Affiliation:

1. IBM Watson, 555 Bailey Ave, San Jose, U.S.A., --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 8 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. Unsupervised strategies in detecting log anomalies using AIOps monitoring to amplify performance by PCA and ANN systems;International Journal of Critical Infrastructures;2024

2. AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios;2023 International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE);2023-11-02

3. Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications;Proceedings of the 29th Symposium on Operating Systems Principles;2023-10-23

4. Importance of AIOps for Turn Metrics and Log Data: A Survey;2023 2nd International Conference on Edge Computing and Applications (ICECAA);2023-07-19

5. LogInsights - Understanding and Extracting Information from Logs for Fast Fault Classification by Weak Supervision;2023 IEEE International Conference on Software Services Engineering (SSE);2023-07

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