A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection
Summary: Demonstrates Exathlon, a benchmarking platform for explainable anomaly detection on high-dimensional time series. Highlights curated anomaly datasets, a novel benchmarking methodology, and an end-to-end pipeline to develop, evaluate, and explain detectors. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vincent Jacob
- 2. Fei Song
- 3. Arnaud Stiegler
- 4. Bijan Rad
- 5. Yanlei Diao
- 6. Nesime Tatbul
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,870 | DBPA: A Benchmark for Transactional Database Performance Anomalies | 2023 | SIGMOD | 5.8583776e-05 |
| 8,161 | TOD: GPU-accelerated Outlier Detection via Tensor Operations | 2023 | VLDB | 4.5688249e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,640 | Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series | 2021 | VLDB | 0.00011048873 |
| 2,129 | MacroBase: Prioritizing Attention in Fast Data | 2017 | SIGMOD | 9.4799835e-05 |
| 4,541 | Interactive Time Series Analytics Powered by ONEX | 2017 | SIGMOD | 6.0965474e-05 |
| 5,658 | XBenchMatch: a Benchmark for XML Schema Matching Tools | 2007 | VLDB | 5.3868097e-05 |
| 7,387 | Web-based Benchmarks for Forecasting Systems - The ECAST Platform | 2016 | SIGMOD | 4.7389849e-05 |
| 8,155 | Visual Exploration of Time Series Anomalies with Metro-Viz | 2019 | SIGMOD | 4.5702491e-05 |
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