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)
Incoming Non-self Citations Over Time
Authors
- 1. Xiaolei Chen (Fudan University)
- 2. Peng Wang (Fudan University)
- 3. Jia Chen (Fudan University)
- 4. Wei Wang (Fudan University)
BibTeX Citation
@inproceedings{chen_sigmod23,
title = {{AS-Parser: Log Parsing Based on Adaptive Segmentation}},
author = {Chen, Xiaolei and Wang, Peng and Chen, Jia and Wang, Wei},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626719},
url = {https://dl.acm.org/doi/10.1145/3626719},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,838 | PreLog: A Pre-trained Model for Log Analytics | 2024 | SIGMOD | 5.9752181e-05 |
| 7,639 | Adaptive and Efficient Log Parsing as a Cloud Service | 2025 | SIGMOD | 5.4772833e-05 |
| 11,343 | CoLA: Model Collaboration for Log-based Anomaly Detection | 2025 | VLDB | 4.9793485e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,347 | Filter Before You Parse: Faster Analytics on Raw Data with Sparser | 2018 | VLDB | 8.6012176e-05 |
| 3,912 | Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets | 2018 | SIGMOD | 6.9306061e-05 |
| 6,973 | A Scalable Index for Top-k Subtree Similarity Queries | 2019 | SIGMOD | 5.6304028e-05 |
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