Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series

Summary: Evaluate time-series classification for anomaly-detector selection: 17 classifiers on 1,800 series, showing classifier-based selection outperforms all individual detectors with similar runtime. First large-scale baseline proving TS classification enables accurate, efficient model selection for AutoML anomaly pipelines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: hcc187e28af478b95
Venue: VLDB
Year: 2023
Pagerank: 7.0434227e-05
Overall Rank: 3,734 | 74.98%
DOI: 10.14778/3611479.3611536
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

1. Emmanouil Sylligardos (Hellas)
2. Paul Boniol (Université Paris Cité)
3. John Paparrizos (Ohio State University)
4. Panos Trahanias (Hellas)
5. Themis Palpanas (Institut Universitaire de France; Université Paris Cité)

BibTeX Citation

@article{sylligardos_vldb23,
        title = {{Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series}},
        author = {Sylligardos, Emmanouil and Boniol, Paul and Paparrizos, John and Trahanias, Panos and Palpanas, Themis},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {11},
        pages = {3418--3432},
        doi = {10.14778/3611479.3611536},
        url = {https://doi.org/10.14778/3611479.3611536},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 20 of 20 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,577	ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection	2024	VLDB	6.0619804e-05
6,090	AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data	2024	VLDB	5.8730318e-05
7,119	Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods	2025	VLDB	5.580601e-05
7,660	KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection	2025	SIGMOD	5.4565877e-05
7,661	A Structured Study of Multivariate Time-Series Distance Measures	2025	SIGMOD	5.4565877e-05
9,523	Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression	2025	VLDB	5.151324e-05
9,528	Time-Series Anomaly Detection: Overview and New Trends	2024	VLDB	5.151324e-05
9,951	SPARTAN: Data-Adaptive Symbolic Time-Series Approximation	2025	SIGMOD	5.0910746e-05
10,546	HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series	2026	SIGMOD	4.9605343e-05
10,560	MUFASA: Fast and Accurate Multivariate Time-Series Clustering	2026	SIGMOD	4.9605343e-05
10,587	The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis]	2026	SIGMOD	4.9605343e-05
10,831	KDSelector: A Framework of Knowledge-Enhanced and Data-Efficient Selector Learning for Anomaly Detection Model Selection in Time Series	2026	VLDB	4.9605343e-05
11,277	Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data	2025	SIGMOD	4.9605343e-05
11,313	Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach	2025	VLDB	4.9605343e-05
11,328	Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching	2025	VLDB	4.9605343e-05
11,408	BURST: Rendering Clustering Techniques Suitable for Evolving Streams	2025	VLDB	4.9605343e-05
11,478	EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection	2025	VLDB	4.9605343e-05
11,509	MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection	2025	VLDB	4.9605343e-05
11,647	DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series	2024	VLDB	4.9605343e-05
13,737	ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series	2024	VLDB	-

Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
143	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.00029095978
1,007	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB	0.00012542496
1,548	Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series	2021	VLDB	0.00010265663
1,578	k-Shape: Efficient and Accurate Clustering of Time Series	2015	SIGMOD	0.00010155847
1,636	SAND: Streaming Subsequence Anomaly Detection	2021	VLDB	9.9985086e-05
1,950	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	9.303437e-05
1,981	Decomposed Bounded Floats for Fast Compression and Queries	2021	VLDB	9.2505963e-05
2,364	Online Outlier Detection in Sensor Data Using Non-Parametric Models	2006	VLDB	8.5549846e-05
2,388	Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series	2020	VLDB	8.52352e-05
3,065	New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed	2021	VLDB	7.6759702e-05
3,311	Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection	2022	VLDB	7.4166167e-05
4,334	GRAIL: Efficient Time-Series Representation Learning	2019	VLDB	6.6441978e-05
4,717	Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures	2020	SIGMOD	6.4388287e-05
5,489	Good to the Last Bit: Data-Driven Encoding with CodecDB	2021	SIGMOD	6.0972774e-05
6,202	VergeDB: A Database for IoT Analytics on Edge Devices	2021	CIDR	5.8347611e-05
8,175	PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage	2020	VLDB	5.3689261e-05
9,610	iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges	2023	VLDB	5.1376962e-05
9,660	Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection	2022	VLDB	5.1289226e-05
9,696	dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification	2022	SIGMOD	5.1258854e-05
11,799	Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances	2023	VLDB	4.9605343e-05
13,822	SAND in Action: Subsequence Anomaly Detection for Streams	2021	VLDB	-

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