Log Analysis Automation
Log Analysis Automation is a method within the domain of audit logging that systematically employs algorithmic and computational techniques to identify, categorize, and interpret log data with minimal human intervention, distinguishing itself from manual or ad hoc analysis approaches by enabling scalable, repeatable, and real-time monitoring of system activities.
29
Publications
1.4K
Citations
105
Authors
45
Institutions
Publications per year
2017–2026
16
Parents
29
Tools and Benchmarks for Automated Log Parsing
Jieming Zhu, Shilin He, Jinyang Liu et al. · 2019 · 514 citations
A Semantic-aware Representation Framework for Online Log Analysis
Weibin Meng, Ying Liu, Yuheng Huang et al. · 2020 · 64 citations
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Sun Yat-sen University
Guangzhou, China
3 h-index
4 publications
610 citations
ETH Zurich
Zurich, Switzerland
3 h-index
5 publications
1.6K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
7 publications
686 citations
Meta (United States)
Menlo Park, United States
3 h-index
17 publications
293 citations
Menlo School
Atherton, United States
3 h-index
17 publications
293 citations
Queen's University
Kingston, Canada
2 h-index
3 publications
219 citations
Southwest Minzu University
Chengdu, China
2 h-index
3 publications
546 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
302 citations
1–8 of 45
Repository · 2 publications · 51 citations
2
h-index
1 publications · 37 citations
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TNSM · 1 publications · 22 citations
1
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1 publications · 19 citations
1
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Conference · 1 publications · 46 citations
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1–5