Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms
Summary: Error-generation for benchmarking data-cleaning; enables precise control and large-scale testing. NP-complete; a scalable greedy algorithm sacrifices completeness, aided by a symmetry property of data-quality constraints, exposing the control–scalability trade-off. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Patricia C. Arocena (University of Toronto)
- 2. Boris Glavic (Illinois Institute of Technology)
- 3. Giansalvatore Mecca (University of Basilicata)
- 4. Renée J. Miller (University of Toronto)
- 5. Paolo Papotti (Qatar Computing Research Institute)
- 6. Donatello Santoro (University of Basilicata)
BibTeX Citation
@article{arocena_vldb16,
title = {{Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms}},
author = {Arocena, Patricia C. and Glavic, Boris and Mecca, Giansalvatore and Miller, Renée J. and Papotti, Paolo and Santoro, Donatello},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {2},
pages = {36--47},
doi = {10.14778/2850578.2850580},
url = {https://doi.org/10.14778/2850578.2850580},
year = {2016}
}
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