OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting
Summary: OneShotSTL: an online, one-shot seasonal-trend decomposition algorithm with O(1) per-update cost (vs. batch O(W)), enabling low-latency real-time time-series analysis. Achieves 10–1,000× speedups over SOTA while maintaining comparable or better anomaly-detection and forecasting accuracy. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@article{he_vldb23,
title = {{OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting}},
author = {He, Xiao and Li, Ye and Tan, Jian and Wu, Bin and Li, Feifei},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {6},
pages = {1399--1412},
doi = {10.14778/3583140.3583155},
url = {https://doi.org/10.14778/3583140.3583155},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,114 | Automatic Database Configuration Debugging using Retrieval-Augmented Language Models | 2025 | SIGMOD | 6.7971182e-05 |
| 4,534 | SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting | 2023 | VLDB | 6.5561421e-05 |
| 6,882 | Modernization of Databases in the Cloud Era: Building Databases that Run like Legos | 2023 | VLDB | 5.6569197e-05 |
| 10,005 | Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems | 2023 | VLDB | 5.0979044e-05 |
| 10,554 | Cleaning Time Series under Seasonal and Trend Constraints | 2026 | SIGMOD | 4.9793485e-05 |
| 10,908 | DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance | 2026 | VLDB | 4.9793485e-05 |
| 11,271 | ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning | 2025 | VLDB | 4.9793485e-05 |
| 11,337 | Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,629 | SAND: Streaming Subsequence Anomaly Detection | 2021 | VLDB | 0.00010036401 |
| 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 |
| 3,298 | Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection | 2022 | VLDB | 7.4447462e-05 |
| 3,879 | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection | 2021 | SIGMOD | 6.9511324e-05 |
| 6,172 | OnlineSTL: Scaling Time Series Decomposition by 100x | 2022 | VLDB | 5.8623195e-05 |
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