Efficient Pattern Matching over Event Streams
Summary: Presents a formal evaluation model and principled framework for stream pattern matching, transcending regex-like languages. It analyzes runtime complexity and adds sharing-based storage/compute optimizations, with experiments showing gains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jagrati Agrawal (University of Massachusetts Amherst)
- 2. Yanlei Diao (University of Massachusetts Amherst)
- 3. Daniel Gyllstrom (University of Massachusetts Amherst)
- 4. Neil Immerman (University of Massachusetts Amherst)
BibTeX Citation
@inproceedings{agrawal_sigmod08,
title = {{Efficient Pattern Matching over Event Streams}},
author = {Agrawal, Jagrati and Diao, Yanlei and Gyllstrom, Daniel and Immerman, Neil},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376634},
url = {https://dl.acm.org/doi/10.1145/1376616.1376634},
year = {2008}
}
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