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Optimization of Threshold Functions over Streams

Summary: A stream-processing algorithm exactly monitors threshold predicates over temporal joins of multiple streams for the broad quasiconvex class, retaining only a few tuples per stream and never missing alarms. Proven optimal, it sharply reduces normal and failure-mode buffering. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12791
Venue
VLDB
Year
2021
Pagerank
5.3830471e-05
Overall Rank
8,697 | 40.34%
DOI
10.14778/3447689.3447693

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cai_vldb21,
        title = {{Optimization of Threshold Functions over Streams}},
        author = {Cai, Walter and Bernstein, Philip A. and Wu, Wentao and Chandramouli, Badrish},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {6},
        pages = {878--889},
        doi = {10.14778/3447689.3447693},
        url = {https://doi.org/10.14778/3447689.3447693},
        year = {2021}
}

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9,847 TSUBASA: Climate Network Construction on Historical and Real-Time Data 2022 SIGMOD 5.2094004e-05
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