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: 12682
Venue: VLDB
Year: 2021
Pagerank: -
Overall Rank: 13,463 | 7.64%
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
2,004	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	9.3207067e-05
3,447	Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection	2022	VLDB	7.4085215e-05
3,987	Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series	2023	VLDB	6.9722766e-05
9,448	Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection	2022	VLDB	5.2665425e-05
9,477	Odyssey: An Engine Enabling The Time-Series Clustering Journey	2023	VLDB	5.2634238e-05
9,733	SPARTAN: Data-Adaptive Symbolic Time-Series Approximation	2025	SIGMOD	5.227679e-05
10,256	HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series	2026	SIGMOD	5.093636e-05
10,271	MUFASA: Fast and Accurate Multivariate Time-Series Clustering	2026	SIGMOD	5.093636e-05
10,298	The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis]	2026	SIGMOD	5.093636e-05
10,747	A Structured Study of Multivariate Time-Series Distance Measures	2025	SIGMOD	5.093636e-05
10,796	Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data	2025	SIGMOD	5.093636e-05
10,961	BURST: Rendering Clustering Techniques Suitable for Evolving Streams	2025	VLDB	5.093636e-05
10,978	Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods	2025	VLDB	5.093636e-05
10,980	Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression	2025	VLDB	5.093636e-05
11,300	Time-Series Anomaly Detection: Overview and New Trends	2024	VLDB	5.093636e-05
11,435	Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances	2023	VLDB	5.093636e-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	0.00010305183
1,805	SAND: Streaming Subsequence Anomaly Detection	2021	VLDB	9.7116108e-05
2,340	Online Outlier Detection in Sensor Data Using Non-Parametric Models	2006	VLDB	8.7246796e-05
2,346	Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series	2020	VLDB	8.7168932e-05
4,234	GRAIL: Efficient Time-Series Representation Learning	2019	VLDB	6.8171563e-05
4,604	Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures	2020	SIGMOD	6.6104585e-05
6,061	VergeDB: A Database for IoT Analytics on Edge Devices	2021	CIDR	5.9910733e-05

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8	10,843	Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach	2025	VLDB
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