Q-ACER: Query Aggregate Constraint Efficient Repair System
Summary: Q-ACER repairs selection queries to satisfy rich aggregate constraints, including fairness ratios, budgets, and coverage. It efficiently enumerates top-k minimal repairs via shared constraint computation and batch candidate evaluation, with interactive repair comparison. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Vaishnavi Deshpande (University of Southampton)
- 2. Seokki Lee (University of Cincinnati)
- 3. Shatha Algarni (University of Jeddah; University of Southampton)
- 4. Boris Glavic (University of Illinois, Chicago)
- 5. Adriane Chapman (University of Southampton)
BibTeX Citation
@article{deshpande_vldb26,
title = {{Q-ACER: Query Aggregate Constraint Efficient Repair System}},
author = {Deshpande, Vaishnavi and Lee, Seokki and Algarni, Shatha and Glavic, Boris and Chapman, Adriane},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4802--4805},
doi = {10.14778/3827998.3828126},
url = {https://doi.org/10.14778/3827998.3828126},
year = {2026}
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Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 391 | Why Not? | 2009 | SIGMOD | 0.00019238698 |
| 791 | How to ConQueR Why-Not Questions | 2010 | SIGMOD | 0.00013976192 |
| 4,327 | Query Refinement for Diversity Constraint Satisfaction | 2024 | VLDB | 6.6632438e-05 |
| 10,803 | Efficient Query Repair for Aggregate Constraints | 2026 | VLDB | 4.9793485e-05 |
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