Optimal Multi-scale Patterns in Time Series Streams
Summary: Multi-scale pattern discovery in time-series streams: learns local patterns across window sizes with a criterion to capture oscillatory/aperiodic trends. Novelty: learn a data-driven orthonormal transform; no fixed bases, enabling fast incremental streaming with order-of-magnitude savings. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Spiros Papadimitriou (IBM)
- 2. Philip S. Yu (IBM)
BibTeX Citation
@inproceedings{papadimitriou_sigmod06,
title = {{Optimal Multi-scale Patterns in Time Series Streams}},
author = {Papadimitriou, Spiros and Yu, Philip S.},
series = {{SIGMOD} '06},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1142473.1142545},
url = {https://dl.acm.org/doi/10.1145/1142473.1142545},
year = {2006}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,424 | Classical and Contemporary Approaches to Big Time Series Forecasting | 2019 | SIGMOD | 6.7104881e-05 |
| 4,506 | Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series | 2018 | SIGMOD | 6.6569729e-05 |
| 5,158 | Forecasting Big Time Series: Old and New | 2018 | VLDB | 6.3404905e-05 |
| 6,696 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD | 5.7985588e-05 |
| 7,400 | Effective Variation Management for Pseudo Periodical Streams | 2007 | SIGMOD | 5.6255397e-05 |
| 9,474 | LightCTS: A Lightweight Framework for Correlated Time Series Forecasting | 2023 | SIGMOD | 5.2634238e-05 |
| 9,805 | A Skip-list Approach for Efficiently Processing Forecasting Queries | 2008 | VLDB | 5.21582e-05 |
| 10,069 | Mining and Forecasting of Big Time-series Data | 2015 | SIGMOD | 5.1643809e-05 |
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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 |
|---|---|---|---|---|
| 41 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00046675394 |
| 190 | Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases | 2001 | SIGMOD | 0.00026105472 |
| 1,252 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB | 0.00011483752 |
| 2,171 | Multi-Dimensional Regression Analysis of Time-Series Data Streams | 2002 | VLDB | 9.0406168e-05 |
| 2,659 | Identifying Similarities, Periodicities and Bursts for Online Search Queries | 2004 | SIGMOD | 8.286986e-05 |
| 3,034 | Compressing Historical Information in Sensor Networks | 2004 | SIGMOD | 7.8302786e-05 |
| 3,626 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB | 7.2447235e-05 |
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|---|---|---|---|---|
| 1 | 5,325 | Rare Time Series Motif Discovery from Unbounded Streams | 2015 | VLDB |
| 2 | 8,517 | OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting | 2023 | VLDB |
| 3 | 6,073 | OnlineSTL: Scaling Time Series Decomposition by 100x | 2022 | VLDB |
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| 6 | 907 | A Framework for Clustering Evolving Data Streams | 2003 | VLDB |
| 7 | 1,252 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB |
| 8 | 3,252 | Fast Time-Series Searching with Scaling and Shifting | 1999 | PODS |
| 9 | 3,920 | Continually Evaluating Similarity-Based Pattern Queries on a Streaming Time Series | 2002 | SIGMOD |
| 10 | 3,626 | Identifying Representative Trends in Massive Time Series Data Sets Using Sketches | 2000 | VLDB |