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Complete Event Trend Detection in High-Rate Event Streams

Summary: Introduces the CET graph to compactly encode all Complete Event Trends matched by a query in high-rate streams. Time-centric graphlets with cached partial CETs enable reuse; a cost-monotone optimizer prunes plans under memory limits, yielding up to 42× speedup vs prior methods. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5375
Venue
SIGMOD
Year
2017
Pagerank
5.9444229e-05
Overall Rank
6,204 | 57.44%
DOI
10.1145/3035918.3035947

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{poppe_sigmod17,
        title = {{Complete Event Trend Detection in High-Rate Event Streams}},
        author = {Poppe, Olga and Lei, Chuan and Ahmed, Salah and Rundensteiner, Elke A.},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035947},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035947},
        year = {2017}
}

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