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)
Incoming Non-self Citations Over Time
Authors
- 1. Yi-Leh Wu
- 2. Divyakant Agrawal
- 3. Amr El Abbadi
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