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Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints

Summary: Contingency analysis under predicate-constraints bounds aggregates (SUM, COUNT, AVG, MIN, MAX) with missing data. An integer-program optimizer reconciles overlapping constraints to yield guaranteed hard bounds; experiments show competitive accuracy vs baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6000
Venue
SIGMOD
Year
2020
Pagerank
4.5771031e-05
Overall Rank
8,138 | 43.39%
DOI
10.1145/3318464.3389785

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