T-ReX: Optimizing Pattern Search on Time Series
Summary: Extends MATCH_RECOGNIZE with segment-variables and new operators to express variable-length time-series patterns. A combined optimizer and executor prune the search space, delivering 6x–19x median speedup over NFA and tree-based baselines on 5 real datasets and 11 templates. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Silu Huang (Microsoft)
- 2. Erkang Zhu (Microsoft)
- 3. Surajit Chaudhuri (Microsoft)
- 4. Leonhard Spiegelberg (Brown University)
BibTeX Citation
@inproceedings{huang_sigmod23,
title = {{T-ReX: Optimizing Pattern Search on Time Series}},
author = {Huang, Silu and Zhu, Erkang and Chaudhuri, Surajit and Spiegelberg, Leonhard},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589275},
url = {https://dl.acm.org/doi/10.1145/3589275},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,628 | Sharp: Shared State Reduction for Efficient Matching of Sequential Patterns | 2026 | VLDB | 5.093636e-05 |
| 11,234 | Window Function Expression: Let the Self-join Enter | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 9 | 41 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD |
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