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: 13919
Venue: VLDB
Year: 2025
Pagerank: 4.1905499e-05
Overall Rank: 10,645 | 26.02%
DOI: 10.14778/3746405.3746407

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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
159	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.00040135453
697	Efficient Algorithms for Mining Outliers from Large Data Sets	2000	SIGMOD	0.00017964755
1,253	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB	0.00013019488
1,640	Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series	2021	VLDB	0.00011048873
2,289	TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data	2022	VLDB	9.0922439e-05
2,305	TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods	2024	VLDB	9.0655355e-05
2,381	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	8.9241557e-05
2,646	Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series	2020	VLDB	8.3751681e-05
3,946	Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection	2022	VLDB	6.6036232e-05
6,435	An Experimental Evaluation of Anomaly Detection in Time Series	2024	VLDB	5.0555305e-05
6,589	AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	2023	SIGMOD	4.9964862e-05
7,183	TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms	2022	VLDB	4.8026282e-05
10,545	Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection	2025	VLDB	4.1905499e-05
11,202	LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation	2023	SIGMOD	4.1905499e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
4,082	Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series	2023	VLDB	6.4601453e-05
2,289	TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data	2022	VLDB	9.0922439e-05
7,183	TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms	2022	VLDB	4.8026282e-05
1,253	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB	0.00013019488
11,097	Time-Series Anomaly Detection: Overview and New Trends	2024	VLDB	4.1905499e-05
10,834	EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection	2025	VLDB	4.1905499e-05
6,435	An Experimental Evaluation of Anomaly Detection in Time Series	2024	VLDB	5.0555305e-05
6,419	AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data	2024	VLDB	5.0621949e-05
10,745	TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection	2025	VLDB	4.1905499e-05
2,381	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	8.9241557e-05