An Experimental Evaluation of Anomaly Detection in Time Series

Summary: Systematic benchmark of 17 time-series anomaly detectors across a taxonomy of data dimensions, techniques, and anomaly types. Evaluates effectiveness, efficiency, and robustness on real/synthetic data using point and subsequence-aware range metrics, yielding practical method-selection guidance. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h5b161dc3ae314e8d
Venue: VLDB
Year: 2024
Pagerank: 5.8295994e-05
Overall Rank: 6,268 | 57.86%
DOI: 10.14778/3632093.3632110

Incoming Non-self Citations Over Time

Authors

1. Aoqian Zhang (Beijing Institute of Technology)
2. Shuqing Deng (Beijing Institute of Technology)
3. Dongping Cui (Beijing Institute of Technology)
4. Ye Yuan (Beijing Institute of Technology)
5. Guoren Wang (Beijing Institute of Technology)

BibTeX Citation

@article{zhang_vldb24,
        title = {{An Experimental Evaluation of Anomaly Detection in Time Series}},
        author = {Zhang, Aoqian and Deng, Shuqing and Cui, Dongping and Yuan, Ye and Wang, Guoren},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {3},
        pages = {483--496},
        doi = {10.14778/3632093.3632110},
        url = {https://doi.org/10.14778/3632093.3632110},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,073	AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data	2024	VLDB	5.8953069e-05
9,567	TAB: Unified Benchmarking of Time Series Anomaly Detection Methods	2025	VLDB	5.1571823e-05
9,874	MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data	2024	VLDB	5.1176637e-05
11,249	Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach	2025	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,005	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB	0.00012590067
1,480	Distance-based Outlier Detection in Data Streams	2016	VLDB	0.00010540994
1,544	Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series	2021	VLDB	0.00010304574
1,579	k-Shape: Efficient and Accurate Clustering of Time Series	2015	SIGMOD	0.00010186397
1,629	SAND: Streaming Subsequence Anomaly Detection	2021	VLDB	0.00010036401
1,637	Apache IoTDB: Time-series Database for Internet of Things	2020	VLDB	0.00010013276
1,740	TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data	2022	VLDB	9.7439205e-05
1,937	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	9.3387043e-05
2,547	NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing	2019	VLDB	8.3160201e-05
3,298	Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection	2022	VLDB	7.4447462e-05
8,229	A New Distributional Treatment for Time Series and An Anomaly Detection Investigation	2022	VLDB	5.3725908e-05

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#	Overall Rank	Paper	Year	Venue
1	1,937	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB
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