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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)

Paper ID
5918
Venue
SIGMOD
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,775 | 19.22%
DOI
10.1145/3318464.3384683

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BibTeX Citation

@inproceedings{hu_sigmod20,
        title = {{AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases}},
        author = {Hu, Wentao and Zhang, Dongxiang and Jiang, Dawei and Wu, Sai and Chen, Ke and Tan, Kian-Lee and Chen, Gang},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3384683},
        url = {https://dl.acm.org/doi/10.1145/3318464.3384683},
        year = {2020}
}

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