Time-Series Anomaly Detection: Overview and New Trends

Summary: Holistic tutorial surveying time-series anomaly detection from classical stats to modern ML/deep methods, highlighting domain-specific failure modes and lack of one-size-fits-all detectors. Contributions: new taxonomy, critique/advances in benchmarking and evaluation, and interactive tools for algorithm exploration and automated detection pipelines. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h08f8c43f8b260bfb
Venue: VLDB
Year: 2024
Pagerank: 5.1708619e-05
Overall Rank: 9,488 | 36.21%
DOI: 10.14778/3685800.3685842

Incoming Non-self Citations Over Time

Authors

1. Qinghua Liu (Ohio State University)
2. Paul Boniol (CNRS; INRIA; Paris Sciences et Lettres University; École Normale Supérieure)
3. Themis Palpanas (French University Institute; University of Paris)
4. John Paparrizos (Ohio State University)

BibTeX Citation

@article{liu_vldb24,
        title = {{Time-Series Anomaly Detection: Overview and New Trends}},
        author = {Liu, Qinghua and Boniol, Paul and Palpanas, Themis and Paparrizos, John},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4229--4232},
        doi = {10.14778/3685800.3685842},
        url = {https://doi.org/10.14778/3685800.3685842},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,641	A Structured Study of Multivariate Time-Series Distance Measures	2025	SIGMOD	5.4772833e-05
9,483	Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression	2025	VLDB	5.1708619e-05
10,469	HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series	2026	SIGMOD	4.9793485e-05
10,483	MUFASA: Fast and Accurate Multivariate Time-Series Clustering	2026	SIGMOD	4.9793485e-05
10,510	The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis]	2026	SIGMOD	4.9793485e-05
10,760	KDSelector: A Framework of Knowledge-Enhanced and Data-Efficient Selector Learning for Anomaly Detection Model Selection in Time Series	2026	VLDB	4.9793485e-05
11,211	Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data	2025	SIGMOD	4.9793485e-05
11,348	BURST: Rendering Clustering Techniques Suitable for Evolving Streams	2025	VLDB	4.9793485e-05
11,419	EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection	2025	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 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
1,544	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
1,937	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	9.3387043e-05
1,973	Decomposed Bounded Floats for Fast Compression and Queries	2021	VLDB	9.2834606e-05
3,298	Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection	2022	VLDB	7.4447462e-05
3,726	Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series	2023	VLDB	7.0701368e-05
4,103	AutoOD: Automatic Outlier Detection	2023	SIGMOD	6.8066074e-05
4,316	GRAIL: Efficient Time-Series Representation Learning	2019	VLDB	6.6683448e-05
4,703	Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures	2020	SIGMOD	6.4621968e-05
5,471	Good to the Last Bit: Data-Driven Encoding with CodecDB	2021	SIGMOD	6.1181669e-05
6,189	VergeDB: A Database for IoT Analytics on Edge Devices	2021	CIDR	5.8568233e-05
6,197	GraphAn: Graph-based Subsequence Anomaly Detection	2020	VLDB	5.8527203e-05
8,160	PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage	2020	VLDB	5.3871591e-05
9,626	Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection	2022	VLDB	5.1483755e-05
9,658	Odyssey: An Engine Enabling The Time-Series Clustering Journey	2023	VLDB	5.1453267e-05
11,749	Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances	2023	VLDB	4.9793485e-05
13,777	SAND in Action: Subsequence Anomaly Detection for Streams	2021	VLDB	-

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