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AS-Parser: Log Parsing Based on Adaptive Segmentation

Summary: AS-Parser presents adaptive hierarchical segmentation, yielding a tree-based representation that captures log structure beyond fixed delimiters. It auto-discovers delimiters and offers three improvements, achieving 0.943 accuracy on 14/16 benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6734
Venue
SIGMOD
Year
2023
Pagerank
7.3147783e-05
Overall Rank
3,259 | 77.33%
DOI
10.1145/3626719

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,893 Adaptive and Efficient Log Parsing as a Cloud Service 2025 SIGMOD 4.8925595e-05
6,897 PreLog: A Pre-trained Model for Log Analytics 2024 SIGMOD 4.8925595e-05
10,713 CoLA: Model Collaboration for Log-based Anomaly Detection 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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