SAND in Action: Subsequence Anomaly Detection for Streams

Summary: Online, domain-agnostic subsequence anomaly detection for streams. SAND incrementally updates a drift-adaptive model, discards obsolete data, and avoids full-data access, enabling real-time subsequence anomaly detection and robust performance against competing streaming methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h80885251fb6fe140
Venue: VLDB
Year: 2021
Pagerank: -
Overall Rank: 13,777 | 7.38%
DOI: 10.14778/3476311.3476365

Incoming Non-self Citations Over Time

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

Authors

1. Paul Boniol (University of Paris; Électricité de France)
2. John Paparrizos (University of Chicago)
3. Themis Palpanas (Institut universitaire de France; University of Paris)
4. Michael J. Franklin (University of Chicago)

BibTeX Citation

@article{boniol_vldb21,
        title = {{SAND in Action: Subsequence Anomaly Detection for Streams}},
        author = {Boniol, Paul and Paparrizos, John and Palpanas, Themis and Franklin, Michael J.},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {2867--2870},
        doi = {10.14778/3476311.3476365},
        url = {https://doi.org/10.14778/3476311.3476365},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,937	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	9.3387043e-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
7,094	Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods	2025	VLDB	5.601767e-05
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
9,488	Time-Series Anomaly Detection: Overview and New Trends	2024	VLDB	5.1708619e-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
9,909	SPARTAN: Data-Adaptive Symbolic Time-Series Approximation	2025	SIGMOD	5.1103839e-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
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
11,749	Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances	2023	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1,579	k-Shape: Efficient and Accurate Clustering of Time Series	2015	SIGMOD	0.00010186397
1,629	SAND: Streaming Subsequence Anomaly Detection	2021	VLDB	0.00010036401
2,359	Online Outlier Detection in Sensor Data Using Non-Parametric Models	2006	VLDB	8.5813849e-05
2,375	Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series	2020	VLDB	8.555841e-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
6,189	VergeDB: A Database for IoT Analytics on Edge Devices	2021	CIDR	5.8568233e-05

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8	11,249	Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach	2025	VLDB
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