AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases
Summary: AUDITOR automates discovery of integrity constraints over categorical, numerical, derivative attributes, expanding constraint space. Introduces attribute-value distribution into constraints; validated on healthcare audits for expert anomaly discovery. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wentao Hu
- 2. Dongxiang Zhang
- 3. Dawei Jiang
- 4. Sai Wu
- 5. Ke Chen
- 6. Kian-Lee Tan
- 7. Gang Chen
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,974 | BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data | 2003 | VLDB | 9.8866171e-05 |
| 2,077 | Efficient Discovery of Approximate Dependencies | 2018 | VLDB | 9.6001836e-05 |
| 2,483 | Discovery of Approximate (and Exact) Denial Constraints | 2020 | VLDB | 8.6864916e-05 |
| 5,264 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB | 5.597302e-05 |
| 6,514 | Spade: A Modular Framework for Analytical Exploration of RDF Graphs | 2019 | VLDB | 5.0321577e-05 |
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