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Enhancing Database Correctness: A Statistical Approach

Summary: Proposes statistical constraints—probabilistic integrity rules that encode embedded attribute relations to improve database correctness. Outlines extraction and enforcement methods and offers a preliminary performance evaluation on a real-world DB, highlighting errors beyond conventional constraints. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2864
Venue
SIGMOD
Year
1995
Pagerank
5.093636e-05
Overall Rank
12,994 | 10.85%
DOI
10.1145/223784.223840

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BibTeX Citation

@inproceedings{hou_sigmod95,
        title = {{Enhancing Database Correctness: A Statistical Approach}},
        author = {Hou, Wen-Chi and Zhang, Zhongyang},
        series = {{SIGMOD} '95},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/223784.223840},
        url = {https://dl.acm.org/doi/10.1145/223784.223840},
        year = {1995}
}

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