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SAND: Streaming Subsequence Anomaly Detection

Summary: SAND: streaming, online, domain-agnostic subsequence anomaly detection. It updates a normal-behavior model online to track drift, without needing full data, and detects both isolated and recurring anomalies, with large speedups over state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h2888a94c1181ec7f
Venue
VLDB
Year
2021
Pagerank
0.00010036401
Overall Rank
1,629 | 89.05%
DOI
10.14778/3467861.3467863

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{boniol_vldb21,
        title = {{SAND: Streaming Subsequence Anomaly Detection}},
        author = {Boniol, Paul and Paparrizos, John and Palpanas, Themis and Franklin, Michael J.},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {10},
        pages = {1717--1729},
        doi = {10.14778/3467861.3467863},
        url = {https://doi.org/10.14778/3467861.3467863},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 37 of 37 citing papers.

Rank Citing Paper Year Venue Pagerank
1,005 Anomaly Detection in Time Series: A Comprehensive Evaluation 2022 VLDB 0.00012590067
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
1,973 Decomposed Bounded Floats for Fast Compression and Queries 2021 VLDB 9.2834606e-05
2,265 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 8.7238222e-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
4,909 METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection 2024 VLDB 6.3584226e-05
5,559 ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection 2024 VLDB 6.0849722e-05
6,073 AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data 2024 VLDB 5.8953069e-05
6,268 An Experimental Evaluation of Anomaly Detection in Time Series 2024 VLDB 5.8295994e-05
6,694 MOST: Model-Based Compression with Outlier Storage for Time Series Data 2023 SIGMOD 5.7068014e-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
7,763 OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting 2023 VLDB 5.456536e-05
8,400 TOD: GPU-accelerated Outlier Detection via Tensor Operations 2023 VLDB 5.3395906e-05
9,482 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.1708619e-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
9,660 dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification 2022 SIGMOD 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
10,624 CANDOR-Bench: Benchmarking In-Memory Continuous ANNS under Dynamic Open-World Streams [Experiments & Analysis] 2026 SIGMOD 4.9793485e-05
10,979 MCAD: Multivariate Correlation Anomaly Data Generator 2026 VLDB 4.9793485e-05
11,108 In-Database Time Series Clustering 2025 SIGMOD 4.9793485e-05
11,166 TD-Join: Leveraging Temporal Dependencies in Time Series Joins 2025 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
11,249 Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach 2025 VLDB 4.9793485e-05
11,348 BURST: Rendering Clustering Techniques Suitable for Evolving Streams 2025 VLDB 4.9793485e-05
11,451 MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection 2025 VLDB 4.9793485e-05
11,457 Representative Time Series Discovery for Data Exploration 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
13,777 SAND in Action: Subsequence Anomaly Detection for Streams 2021 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
142 LOF: Identifying Density-Based Local Outliers 2000 SIGMOD 0.00029202746
148 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.0002900671
1,480 Distance-based Outlier Detection in Data Streams 2016 VLDB 0.00010540994
1,579 k-Shape: Efficient and Accurate Clustering of Time Series 2015 SIGMOD 0.00010186397
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
6,197 GraphAn: Graph-based Subsequence Anomaly Detection 2020 VLDB 5.8527203e-05
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