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: 6523
Venue: SIGMOD
Year: 2023
Pagerank: 6.1704203e-05
Overall Rank: 4,456 | 69.01%
DOI: 10.1145/3588700

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,029	Outliers: The Good, the Bad and the Ugly	2026	SIGMOD	4.1945683e-05
10,100	AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction	2026	SIGMOD	4.1945683e-05
10,365	Agree to Disagree: Robust Anomaly Detection with Noisy Labels	2025	SIGMOD	4.1945683e-05
10,478	Data Enhancement for Binary Classification of Relational Data	2025	SIGMOD	4.1945683e-05
10,738	TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection	2025	VLDB	4.1945683e-05
10,830	EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection	2025	VLDB	4.1945683e-05
11,094	Time-Series Anomaly Detection: Overview and New Trends	2024	VLDB	4.1945683e-05

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
161	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.00039846974
254	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00030540555
701	Efficient Algorithms for Mining Outliers from Large Data Sets	2000	SIGMOD	0.00017938417
774	Algorithms for Mining Distance-Based Outliers in Large Datasets	1998	VLDB	0.00016865771
921	Democratizing Data Science through Interactive Curation of ML Pipelines	2019	SIGMOD	0.00015337438
1,391	Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads	2018	VLDB	0.0001223506
2,126	MacroBase: Prioritizing Attention in Fast Data	2017	SIGMOD	9.4887794e-05
2,822	Finding Intensional Knowledge of Distance-Based Outliers	1999	VLDB	8.0608136e-05
4,554	A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System	2022	VLDB	6.0911296e-05
7,575	Human-in-the-loop Outlier Detection	2020	SIGMOD	4.7068909e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
9,709	Outlier Summarization via Human Interpretable Rules	2024	VLDB	4.299267e-05
11,467	Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach	2021	SIGMOD	4.1945683e-05
1,854	Distance-based Outlier Detection in Data Streams	2016	VLDB	0.00010317762
2,629	Online Outlier Detection in Sensor Data Using Non-Parametric Models	2006	VLDB	8.4160309e-05
3,920	Continuous Outlier Detection in Data Streams: An Extensible Framework and State-Of-The-Art Algorithms	2013	SIGMOD	6.6309693e-05
5,468	Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles	2022	VLDB	5.4902013e-05
6,423	AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data	2024	VLDB	5.0670573e-05
9,787	Distance-Based Outlier Detection: Consolidation and Renewed Bearing	2010	VLDB	4.2823546e-05
7,575	Human-in-the-loop Outlier Detection	2020	SIGMOD	4.7068909e-05
4,554	A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System	2022	VLDB	6.0911296e-05