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Tighter Estimation using Bottom k Sketches

Summary: Derives unbiased Horvitz–Thompson-based rank- and subset-conditioning estimators plus confidence bounds for predicate-defined weights in bottom-k sketches. RC handles unknown total sketch weight; SC exploits known totals, yielding tighter estimates and bounds. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9861
Venue
VLDB
Year
2008
Pagerank
7.376137e-05
Overall Rank
3,481 | 76.12%
DOI
10.14778/1453856.1453883

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BibTeX Citation

@article{cohen_vldb08,
        title = {{Tighter Estimation using Bottom k Sketches}},
        author = {Cohen, Edith and Kaplan, Haim},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {1},
        pages = {213--224},
        doi = {10.14778/1453856.1453883},
        url = {https://doi.org/10.14778/1453856.1453883},
        year = {2008}
}

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