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)
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