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Sliding-Window Top-k Queries on Uncertain Streams

Summary: Introduces the first framework for sliding-window top-k queries over uncertain streams, handling both tuple arrivals and expirations despite possible-worlds explosion. Supports existing top-k semantics via compact, sub-window-size synopses with strong efficiency guarantees. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9867
Venue
VLDB
Year
2008
Pagerank
7.2710351e-05
Overall Rank
3,599 | 75.31%
DOI
10.14778/1453856.1453892

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jin_vldb08,
        title = {{Sliding-Window Top-k Queries on Uncertain Streams}},
        author = {Jin, Cheqing and Yi, Ke and Chen, Lei and Yu, Jeffrey Xu and Lin, Xuemin},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {6},
        number = {10},
        doi = {10.14778/1453856.1453892},
        url = {https://doi.org/10.14778/1453856.1453892},
        year = {2008}
}

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