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Applying the Golden Rule of Sampling for Query Estimation

Summary: Proposes a sampling method based on von Neumann's golden rule to estimate range-query size in databases. Randomly samples the frequency domain using the cumulative frequency distribution, with no prior distribution knowledge, delivering lower error than Min-Skew and wavelet baselines and scalable to higher dimensions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3352
Venue
SIGMOD
Year
2001
Pagerank
8.5070756e-05
Overall Rank
2,493 | 82.90%
DOI
10.1145/375663.375724

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wu_sigmod01,
        title = {{Applying the Golden Rule of Sampling for Query Estimation}},
        author = {Wu, Yi-Leh and Agrawal, Divyakant and Abbadi, Amr El},
        series = {{SIGMOD} '01},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/375663.375724},
        url = {https://dl.acm.org/doi/10.1145/375663.375724},
        year = {2001}
}

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