Log Querying
Log Querying is a method within the domain of container logging that enables the retrieval and analysis of structured log data through expressive search criteria, distinguishing itself by supporting dynamic, real-time querying across distributed system outputs.
18
Publications
934
Citations
64
Authors
29
Institutions
Publications per year
2017–2026
5
Parents
18
Big Data Analytics with Datalog Queries on Spark
Alexander Shkapsky, Mohan Yang, Matteo Interlandi et al. · 2016 · 124 citations · Full text
Amr Magdy, Louai Alarabi, Saif Al-Harthi et al. · 2014 · 68 citations
Web log data warehousing and mining for intelligent web caching
Francesco Bonchi, Fosca Giannotti, C. Gozzi et al. · Data & Knowledge Engineering · 2001 · 60 citations
Understanding Log Lines Using Development Knowledge
Weiyi Shang, Meiyappan Nagappan, Ahmed E. Hassan et al. · 2014 · 60 citations
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29

University of Minnesota
Minneapolis, United States
3 h-index
8 publications
273 citations
Sandia National Laboratories California
Livermore, United States
2 h-index
5 publications
124 citations
Umm al-Qura University
Makkah al Mukarramah, Saudi Arabia
2 h-index
7 publications
256 citations

Metropolitan State University
Saint Paul, United States
2 h-index
2 publications
81 citations
University of Washington
Seattle, United States
1 h-index
3 publications
147 citations

Universitatea Națională de Știință și Tehnologie Politehnica București
Bucharest, Romania
1 h-index
4 publications
168 citations
IMT Atlantique
Nantes, France
1 h-index
3 publications
33 citations
University of California, Irvine
Irvine, United States
1 h-index
3 publications
42 citations
1–8 of 29
2 publications · 309 citations
2
h-index
1 publications · 32 citations
1
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Repository · 1 publications · 18 citations
1
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1 publications · 20 citations
1
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JAIR · 1 publications · 60 citations
1
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1–5