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AutoOD: Automatic Outlier Detection

Summary: AutoOD merges multiple unsupervised outlier detectors with a learned, custom outlier classifier to produce labels without ground truth. It exploits cross-detector signals to outperform the best unsupervised detector and tuning-free baselines on diverse benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hf0bfb8a96257ab0d
Venue
SIGMOD
Year
2023
Pagerank
6.780889e-05
Overall Rank
4,123 | 72.37%
DOI
10.1145/3588700
PDF
Download (CC BY 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cao_sigmod23,
        title = {{AutoOD: Automatic Outlier Detection}},
        author = {Cao, Lei and Yan, Yizhou and Wang, Yu and Madden, Samuel and Rundensteiner, Elke A.},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588700},
        url = {https://dl.acm.org/doi/10.1145/3588700},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
9,522 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.151324e-05
9,528 Time-Series Anomaly Detection: Overview and New Trends 2024 VLDB 5.151324e-05
10,483 Adaptive Outlier Detection over Data Stream 2026 SIGMOD 4.9605343e-05
10,607 Outliers: The Good, the Bad and the Ugly 2026 SIGMOD 4.9605343e-05
10,659 AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction 2026 SIGMOD 4.9605343e-05
11,171 Agree to Disagree: Robust Anomaly Detection with Noisy Labels 2025 SIGMOD 4.9605343e-05
11,250 Data Enhancement for Binary Classification of Relational Data 2025 SIGMOD 4.9605343e-05
11,478 EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
143 LOF: Identifying Density-Based Local Outliers 2000 SIGMOD 0.00029095978
200 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025443474
587 Efficient Algorithms for Mining Outliers from Large Data Sets 2000 SIGMOD 0.00015900873
698 Algorithms for Mining Distance-Based Outliers in Large Datasets 1998 VLDB 0.0001465073
948 Democratizing Data Science through Interactive Curation of ML Pipelines 2019 SIGMOD 0.00012900728
1,844 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5112726e-05
2,031 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.1414653e-05
2,712 Finding Intensional Knowledge of Distance-Based Outliers 1999 VLDB 8.0879243e-05
4,702 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB 6.446361e-05
7,064 Human-in-the-loop Outlier Detection 2020 SIGMOD 5.5930864e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 10,483 Adaptive Outlier Detection over Data Stream 2026 SIGMOD
2 9,852 Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach 2021 SIGMOD
3 1,482 Distance-based Outlier Detection in Data Streams 2016 VLDB
4 2,364 Online Outlier Detection in Sensor Data Using Non-Parametric Models 2006 VLDB
5 3,950 Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms 2013 SIGMOD
6 4,992 Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles 2022 VLDB
7 6,090 AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data 2024 VLDB
8 10,180 Distance-Based Outlier Detection: Consolidation and Renewed Bearing 2010 VLDB
9 7,064 Human-in-the-loop Outlier Detection 2020 SIGMOD
10 4,702 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB