BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems
Summary: BART in Action is an open-source error-generation framework to stress-test data-cleaning systems and benchmark repairers. It formalizes detectability and repairability, shows how error features alter tool performance, and demonstrates five algorithms on BART-created dirty data. (summarized by gpt-5-nano on Feb 09 2026)
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Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 268 | A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification | 2005 | SIGMOD | 0.00029739054 |
| 621 | Improving Data Quality: Consistency and Accuracy | 2007 | VLDB | 0.00018978331 |
| 879 | Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes | 2013 | SIGMOD | 0.00015649604 |
| 1,012 | NADEEF: A Commodity Data Cleaning System | 2013 | SIGMOD | 0.00014638349 |
| 1,625 | Sampling the Repairs of Functional Dependency Violations under Hard Constraints | 2010 | VLDB | 0.0001109361 |
| 2,417 | Combining Quantitative and Logical Data Cleaning | 2016 | VLDB | 8.8502556e-05 |
| 2,642 | Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms | 2016 | VLDB | 8.3925184e-05 |
| 5,387 | That's All Folks! LLUNATIC Goes Open Source | 2014 | VLDB | 5.5344399e-05 |
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