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Queries with Arithmetic on Incomplete Databases

Summary: Proposes a certainty measure for answers to queries with arithmetic/comparisons on incomplete databases with numerical attributes, using asymptotic volumes in Euclidean space to model lack of a uniform continuous prior. Shows the measure is well-defined, proves hardness/irrationality results, and gives randomized polynomial-time approximation schemes (multiplicative for conjunctive queries, additive for arbitrary FO queries), plus empirical validation. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1797
Venue
PODS
Year
2020
Pagerank
4.4248197e-05
Overall Rank
8,947 | 37.76%
DOI
10.1145/3375395.3387666

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,939 Tuple-Independent Representations of Infinite Probabilistic Databases 2021 PODS 4.613363e-05
8,803 Coping with Incomplete Data: Recent Advances 2020 PODS 4.4470842e-05
11,161 Querying Incomplete Numerical Data: Between Certain and Possible Answers 2023 PODS 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
48 Data Integration: A Theoretical Perspective 2002 PODS 0.00069720859
297 Complexity of Answering Queries Using Materialized Views 1998 PODS 0.00028596715
4,759 On Relational Algebra With Marked Nulls 1984 PODS 5.9416104e-05
5,471 Answering Queries Using Views with Arithmetic Comparisons 2002 PODS 5.4888202e-05
5,897 Answering Aggregate Queries in Data Exchange 2008 PODS 5.2842198e-05
6,147 Probabilistic Databases with an Infinite Open-World Assumption 2019 PODS 5.1854833e-05
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