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TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
Summary: TAB: a unified time-series anomaly-detection benchmark aggregating 29 public multivariate datasets and 1,635 univariate series and integrating non-learning, ML, deep-learning, LLM-based and pre-trained time-series methods. Includes an automated, standardized evaluation pipeline for fair, reproducible comparison and reports comprehensive cross-method performance analyses.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13918
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,637 | 26.01%
- DOI
-
10.14778/3746405.3746407
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 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 |
| 1,253 |
Anomaly Detection in Time Series: A Comprehensive Evaluation |
2022 |
VLDB |
0.00013032074 |
| 1,634 |
Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series |
2021 |
VLDB |
0.00011058945 |
| 2,290 |
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data |
2022 |
VLDB |
9.0934125e-05 |
| 2,298 |
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods |
2024 |
VLDB |
9.0742746e-05 |
| 2,381 |
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection |
2022 |
VLDB |
8.9327638e-05 |
| 2,644 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.3832357e-05 |
| 3,943 |
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection |
2022 |
VLDB |
6.6099833e-05 |
| 6,440 |
An Experimental Evaluation of Anomaly Detection in Time Series |
2024 |
VLDB |
5.0603878e-05 |
| 6,589 |
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting |
2023 |
SIGMOD |
5.001285e-05 |
| 7,182 |
TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms |
2022 |
VLDB |
4.8072409e-05 |
| 10,536 |
Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection |
2025 |
VLDB |
4.1945683e-05 |
| 11,200 |
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation |
2023 |
SIGMOD |
4.1945683e-05 |
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