Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach

Summary: Sirloin: streaming subsequence anomaly detection with a novel "glance-and-focus" score that jointly models global and local patterns to boost detection accuracy. Dynamically maintains inverted-file indexes and product-quantization codebooks with dual-index optimization to adapt to evolving series and speed processing (≈4× throughput, +58% accuracy vs streaming SOTA). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 14034
Venue: VLDB
Year: 2025
Pagerank: 5.093636e-05
Overall Rank: 10,843 | 25.61%
DOI: 10.14778/3725688.3725714

Incoming Non-self Citations Over Time

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

Authors

1. Wenjing Wang (Huazhong University of Science and Technology)
2. Ziyang Yue (Huazhong University of Science and Technology)
3. Bolong Zheng (Huazhong University of Science and Technology)

BibTeX Citation

@article{wang_vldb25,
        title = {{Streaming Time Series Subsequence Anomaly Detection: A Glance and Focus Approach}},
        author = {Wang, Wenjing and Yue, Ziyang and Zheng, Bolong},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {6},
        pages = {1892--1904},
        doi = {10.14778/3725688.3725714},
        url = {https://doi.org/10.14778/3725688.3725714},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

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	0.0002962566
148	Gorilla: A Fast, Scalable, In-Memory Time Series Database	2015	VLDB	0.00029250767
1,029	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB	0.00012557065
1,793	TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data	2022	VLDB	9.7435472e-05
1,805	SAND: Streaming Subsequence Anomaly Detection	2021	VLDB	9.7116108e-05
2,004	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection	2022	VLDB	9.3207067e-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
3,987	Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series	2023	VLDB	6.9722766e-05
6,141	An Experimental Evaluation of Anomaly Detection in Time Series	2024	VLDB	5.9628456e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	8,517	OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting	2023	VLDB
2	11,300	Time-Series Anomaly Detection: Overview and New Trends	2024	VLDB
3	1,805	SAND: Streaming Subsequence Anomaly Detection	2021	VLDB
4	6,109	GraphAn: Graph-based Subsequence Anomaly Detection	2020	VLDB
5	8,229	Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data	2007	VLDB
6	5,946	Streaming Anomaly Detection Using Randomized Matrix Sketching	2016	VLDB
7	1,029	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB
8	6,141	An Experimental Evaluation of Anomaly Detection in Time Series	2024	VLDB
9	13,463	SAND in Action: Subsequence Anomaly Detection for Streams	2021	VLDB
10	2,346	Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series	2020	VLDB