A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System
Summary: Demo of AutoOD, an unsupervised self-tuning anomaly detector that eliminates manual model selection. AutoOD matches supervised performance without labels and provides a visual interface to inspect its self-tuning choices and data patterns. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dennis Hofmann
- 2. Peter VanNostrand
- 3. Huayi Zhang
- 4. Yizhou Yan
- 5. Lei Cao
- 6. Samuel Madden
- 7. Elke Rundensteiner
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,456 | AutoOD: Automatic Outlier Detection | 2023 | SIGMOD | 6.1704203e-05 |
| 9,872 | Substructure-aware Log Anomaly Detection | 2025 | VLDB | 4.2667743e-05 |
| 9,984 | Towards Scalable Visual Data Wrangling via Direct Manipulation | 2026 | CIDR | 4.1945683e-05 |
| 10,830 | EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB | 4.1945683e-05 |
| 11,008 | MetaStore: Analyzing Deep Learning Meta-Data at Scale | 2024 | VLDB | 4.1945683e-05 |
| 11,291 | ADOps: An Anomaly Detection Pipeline in Structured Logs | 2023 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 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 |
| 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 |
| 2,126 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.4887794e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,830 | EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB | 4.1945683e-05 |
| 4,154 | Robust and Transferable Log-based Anomaly Detection | 2023 | SIGMOD | 6.4032498e-05 |
| 9,475 | OIE: An Interpretable System for Outlier Explanation and Summarization | 2025 | SIGMOD | 4.3341665e-05 |
| 10,569 | Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains | 2025 | VLDB | 4.1945683e-05 |
| 6,440 | An Experimental Evaluation of Anomaly Detection in Time Series | 2024 | VLDB | 5.0603878e-05 |
| 10,738 | TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection | 2025 | VLDB | 4.1945683e-05 |
| 11,291 | ADOps: An Anomaly Detection Pipeline in Structured Logs | 2023 | VLDB | 4.1945683e-05 |
| 11,094 | Time-Series Anomaly Detection: Overview and New Trends | 2024 | VLDB | 4.1945683e-05 |
| 6,423 | AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data | 2024 | VLDB | 5.0670573e-05 |
| 4,456 | AutoOD: Automatic Outlier Detection | 2023 | SIGMOD | 6.1704203e-05 |