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QFix: Diagnosing Errors through Query Histories
Summary: QFix diagnoses data-quality errors by tracing how queries affected data to derive explanations and repairs. Formalizes query-based diagnosis, provides exact diagnosis/repair methods, optimizations, a tunable accuracy–performance tradeoff to scale to large logs.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h37b7098537d4664e
Venue
SIGMOD
Year
2017
Pagerank
6.3917868e-05
Overall Rank
4,827 | 67.55%
DOI
10.1145/3035918.3035925
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{wang_sigmod17,
title = {{QFix: Diagnosing Errors through Query Histories}},
author = {Wang, Xiaolan and Meliou, Alexandra and Wu, Eugene},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3035925},
url = {https://dl.acm.org/doi/10.1145/3035918.3035925},
year = {2017}
}
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QFix: Demonstrating Error Diagnosis in Query Histories 2016
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Showing 33 of 33 cited papers.
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17
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OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014
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On Generating Near-Optimal Tableaux for Conditional Functional Dependencies 2008
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Tiresias: The Database Oracle for How-To Queries 2012
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Data Auditor: Exploring Data Quality and Semantics using Pattern Tableaux 2010
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