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Estimating the Impact of Unknown Unknowns on Aggregate Query Results

Summary: Leverages source overlap to estimate unobserved data's count and values, quantifying unknown-unknown impact on simple aggregates. Parameter-free, distribution-agnostic; enables uncertainty-aware assessment of integrated-data results without priors. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5100
Venue
SIGMOD
Year
2016
Pagerank
4.8924e-05
Overall Rank
6,941 | 51.72%
DOI
10.1145/2882903.2882909

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