Log Classification
Log Classification is a systematic method within log analysis that categorizes log entries into predefined classes based on their semantic content, origin, or operational context to support efficient processing, monitoring, and compliance in accordance with a logging policy.
72
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3K
Citations
262
Authors
119
Institutions
Publications per year
2017–2026
36
Parents
72
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker et al. · 2020 · 152 citations
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119

Nankai University
Tianjin, China
5 h-index
9 publications
400 citations
China University of Geosciences
Wuhan, China
4 h-index
19 publications
693 citations
Tsinghua University
Beijing, China
3 h-index
14 publications
741 citations
Wuhan University
Wuhan, China
3 h-index
16 publications
808 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
4 publications
76 citations
National Engineering Research Center for Information Technology in Agriculture
Beijing, China
3 h-index
14 publications
741 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
9 publications
547 citations
Huawei Technologies (China)
Shenzhen, China
3 h-index
6 publications
263 citations
1–8 of 119
5 publications · 183 citations
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TNSM · 2 publications · 131 citations
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2 publications · 63 citations
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2 publications · 50 citations
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1 publications · 32 citations
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