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RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection

Summary: RobustPeriod uses MODWT to decompose time series into multi-scale components and isolate interlaced periodicities. At each scale, it detects a period with a robust Huber-periodogram and Huber-ACF, and Fisher-test guarantees with Wiener-Khinchin ACF. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6122
Venue
SIGMOD
Year
2021
Pagerank
7.0666117e-05
Overall Rank
3,861 | 73.52%
DOI
10.1145/3448016.3452779

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wen_sigmod21,
        title = {{RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection}},
        author = {Wen, Qingsong and He, Kai and Sun, Liang and Zhang, Yingying and Ke, Min and Xu, Huan},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452779},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452779},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank Citing Paper Year Venue Pagerank
3,950 MagicScaler: Uncertainty-aware, Predictive Autoscaling 2023 VLDB 6.9980354e-05
5,498 SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting 2023 VLDB 6.1972571e-05
8,517 OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting 2023 VLDB 5.4119882e-05
10,353 Cleaning Time Series under Seasonal and Trend Constraints 2026 SIGMOD 5.093636e-05
10,686 ABase: the Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments 2025 SIGMOD 5.093636e-05
10,861 Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching 2025 VLDB 5.093636e-05
11,168 RITA: Group Attention is All You Need for Timeseries Analytics 2024 SIGMOD 5.093636e-05
11,266 DARKER: Efficient Transformer with Data-driven Attention Mechanism for Time Series 2024 VLDB 5.093636e-05
11,350 Weakly Guided Adaptation for Robust Time Series Forecasting 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank Cited Paper Year Venue Pagerank
461 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00018068441
1,218 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011621066
2,659 Identifying Similarities, Periodicities and Bursts for Online Search Queries 2004 SIGMOD 8.286986e-05
3,219 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.6283153e-05
3,345 Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter 2020 SIGMOD 7.4975085e-05
4,424 Classical and Contemporary Approaches to Big Time Series Forecasting 2019 SIGMOD 6.7104881e-05
4,882 Managing Massive Time Series Streams with Multi-Scale Compressed Trickles 2009 VLDB 6.4651572e-05
5,272 Adaptive, Hands-Off Stream Mining 2003 VLDB 6.2899363e-05
6,673 Database Workload Capacity Planning using Time Series Analysis and Machine Learning 2020 SIGMOD 5.8066637e-05
Previous Page 1 / 1 Next

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