Unsupervised Contextual Anomaly Detection for Database Systems
Summary: Unsupervised anomaly detection in database access via semantic-context comparison. Trans-DAS learns operation semantics with attention and bidirectional contexts; UCAD combines a preprocessing stage and a semantic-based detector to identify stealthy anomalies. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sainan Li (Beijing Institute of Technology; Tsinghua University)
- 2. Qilei Yin (Beijing Institute of Technology; Tsinghua University)
- 3. Guoliang Li (Beijing Institute of Technology; Tsinghua University)
- 4. Qi Li (Beijing Institute of Technology; Tsinghua University)
- 5. Zhuotao Liu (Beijing Institute of Technology; Tsinghua University)
- 6. Jinwei Zhu (Huawei)
BibTeX Citation
@inproceedings{li_sigmod22,
title = {{Unsupervised Contextual Anomaly Detection for Database Systems}},
author = {Li, Sainan and Yin, Qilei and Li, Guoliang and Li, Qi and Liu, Zhuotao and Zhu, Jinwei},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517861},
url = {https://dl.acm.org/doi/10.1145/3514221.3517861},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,814 | METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection | 2024 | VLDB | 6.4955135e-05 |
| 5,228 | Pluto: Sample Selection for Robust Anomaly Detection on Polluted Log Data | 2024 | SIGMOD | 6.3082722e-05 |
| 10,658 | Agree to Disagree: Robust Anomaly Detection with Noisy Labels | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 962 | DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation | 2015 | SIGMOD | 0.00012936472 |
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|---|---|---|---|---|
| 1 | 5,023 | DBPA: A Benchmark for Transactional Database Performance Anomalies | 2023 | SIGMOD |
| 2 | 10,977 | TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB |
| 3 | 7,825 | RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems | 2025 | VLDB |
| 4 | 9,382 | TAB: Unified Benchmarking of Time Series Anomaly Detection Methods | 2025 | VLDB |
| 5 | 10,507 | Unseen Anomaly Detection from System Logs | 2026 | SIGMOD |
| 6 | 10,019 | Substructure-aware Log Anomaly Detection | 2025 | VLDB |
| 7 | 9,379 | Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains | 2025 | VLDB |
| 8 | 5,986 | AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data | 2024 | VLDB |
| 9 | 3,376 | Robust and Transferable Log-based Anomaly Detection | 2023 | SIGMOD |
| 10 | 1,793 | TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data | 2022 | VLDB |