Continually Evaluating Similarity-Based Pattern Queries on a Streaming Time Series
Summary: Continual similarity queries for streaming time series, using FFT-based cross-correlation to batch-distance the inflow stream against database patterns across future positions. Predicts future values to precompute distances and uses arrival-time errors to prune, delivering fast responses. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Like Gao (George Mason University)
- 2. X. Sean Wang (George Mason University)
BibTeX Citation
@inproceedings{gao_sigmod02,
title = {{Continually Evaluating Similarity-Based Pattern Queries on a Streaming Time Series}},
author = {Gao, Like and Wang, X. Sean},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564734},
url = {https://dl.acm.org/doi/10.1145/564691.564734},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,939 | Approximate NN Queries on Streams with Guaranteed Error/performance Bounds | 2004 | VLDB | 7.8340314e-05 |
| 5,270 | Online Event-driven Subsequence Matching over Financial Data Streams | 2004 | SIGMOD | 6.2013771e-05 |
| 6,320 | Subsequence Matching on Structured Time Series Data | 2005 | SIGMOD | 5.8149919e-05 |
| 9,814 | Streaming Similarity Self-Join | 2016 | VLDB | 5.1257999e-05 |
| 11,730 | Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation | 2023 | SIGMOD | 4.9793485e-05 |
| 13,077 | StreamMiner: A Classifier Ensemble-based Engine to Mine Concept-drifting Data Streams | 2004 | VLDB | 4.9793485e-05 |
| 13,093 | AIMS: An Immersidata Management System | 2003 | CIDR | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 25 | NiagaraCQ: A Scalable Continuous Query System for Internet Databases | 2000 | SIGMOD | 0.00053930011 |
| 42 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00045773967 |
| 193 | Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases | 2001 | SIGMOD | 0.00025648171 |
| 369 | Continuous Queries over Append-Only Databases | 1992 | SIGMOD | 0.00019854467 |
| 385 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases | 1995 | VLDB | 0.0001946565 |
| 829 | Similarity-Based Queries for Time Series Data | 1997 | SIGMOD | 0.00013611445 |
| 3,302 | Fast Time-Series Searching with Scaling and Shifting | 1999 | PODS | 7.4433382e-05 |
| 8,529 | High-Dimensional Index Structures: Database Support for Next Decade's Applications | 1998 | SIGMOD | 5.3223717e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,730 | Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation | 2023 | SIGMOD |
| 2 | 5,270 | Online Event-driven Subsequence Matching over Financial Data Streams | 2004 | SIGMOD |
| 3 | 3,302 | Fast Time-Series Searching with Scaling and Shifting | 1999 | PODS |
| 4 | 13,640 | Fully Automated Correlated Time Series Forecasting in Minutes | 2025 | VLDB |
| 5 | 8,286 | Anticipatory DTW for Efficient Similarity Search in Time Series Databases | 2009 | VLDB |
| 6 | 678 | StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time | 2002 | VLDB |
| 7 | 5,102 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB |
| 8 | 2,497 | Optimal Multi-scale Patterns in Time Series Streams | 2006 | SIGMOD |
| 9 | 829 | Similarity-Based Queries for Time Series Data | 1997 | SIGMOD |
| 10 | 1,792 | Fast Approximate Correlation for Massive Time-series Data | 2010 | SIGMOD |