Survey on Log Clustering Approaches-Reference-Cited by-同舟云学术

Survey on Log Clustering Approaches

Published:2021 Issue: Volume: Page:13-41
ISSN:
Container-title:Smart Log Data Analytics
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Author:

Skopik Florian,Wurzenberger Markus,Landauer Max

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74450-2_2

Reference82 articles.

1. Amey Agrawal, Rohit Karlupia, and Rajat Gupta. Logan: A distributed online log parser. In Proceedings of the 35th International Conference on Data Engineering (ICDE), pages 1946–1951. IEEE, 2019.

2. Michal Aharon, Gilad Barash, Ira Cohen, and Eli Mordechai. One graph is worth a thousand logs: Uncovering hidden structures in massive system event logs. In Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 227–243. Springer, 2009.

3. Rachel Allen and Bartley Richardson. Neural network, that’s the tech; to free your staff from, bad regex, December 2019. [Online; accessed 19-December-2019].

4. Nicolas Aussel, Yohan Petetin, and Sophie Chabridon. Improving performances of log mining for anomaly prediction through nlp-based log parsing. In Proceedings of the International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), pages 237–243. IEEE, 2018.

5. Raju Balakrishnan and Ramendra K Sahoo. Lossless compression for large scale cluster logs. In Proceedings of the 20th International Parallel & Distributed Processing Symposium, page 7. IEEE, 2006.

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