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Querying Incomplete Numerical Data: Between Certain and Possible Answers

Summary: Model numerical nulls as marked nulls with probability distributions, yielding probabilistic bag DBs with repeated-null correlations and compositional semantics for arithmetic and aggregate queries. Show queries are measurable with finite outputs, and provide efficient approximations for output-interval probabilities (exact computation intractable). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1911
Venue
PODS
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,367 | 22.02%
DOI
10.1145/3584372.3588660

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BibTeX Citation

@inproceedings{console_pods23,
        address = {New York, NY, USA},
        series = {{PODS} '23},
        title = {{Querying Incomplete Numerical Data: Between Certain and Possible Answers}},
        url = {https://dl.acm.org/doi/10.1145/3584372.3588660},
        doi = {10.1145/3584372.3588660},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Console, Marco and Libkin, Leonid and Peterfreund, Liat},
        year = {2023}
}

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