Unstructured Logging
Unstructured Logging is a logging approach that records container-generated output as free-form text without predefined schemas or formats, distinguishing it from structured methods by its reliance on arbitrary, human-readable messages rather than machine-parsable data models.
28
Publications
3.8K
Citations
105
Authors
41
Institutions
Publications per year
2017–2026
18
Parents
28
Drain: An Online Log Parsing Approach with Fixed Depth Tree
Pinjia He, Jieming Zhu, Zibin Zheng et al. · 2017 · 813 citations
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
Weibin Meng, Ying Liu, Yichen Zhu et al. · 2019 · 616 citations · Full text
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Qiang Fu, Jian–Guang Lou, Yi Wang et al. · 2009 · 557 citations
Spell: Streaming Parsing of System Event Logs
Min Du, Li Fei-Fei · 2016 · 387 citations
Mining invariants from console logs for system problem detection
Jian–Guang Lou, Qiang Fu, Shengqi Yang et al. · 2010 · 256 citations
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41

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
4 publications
977 citations
Tsinghua University
Beijing, China
3 h-index
10 publications
3.4K citations

Nankai University
Tianjin, China
2 h-index
4 publications
1.9K citations

Sun Yat-sen University
Guangzhou, China
2 h-index
2 publications
877 citations
Microsoft Research Asia (China)
Beijing, China
2 h-index
6 publications
2K citations
University of Utah
Salt Lake City, United States
2 h-index
4 publications
996 citations

University of Toronto
Toronto, Canada
2 h-index
6 publications
976 citations

Sonora Institute of Technology
Ciudad Obregón, Mexico
1 h-index
1 publications
12 citations
1–8 of 41
TKDE · 2 publications · 179 citations
2
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1 publications · 55 citations
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Conference · 1 publications · 15 citations
1
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1 publications · 11 citations
1
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TSE · 1 publications · 161 citations
1
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1–5