Relational Confidence Bounds Are Easy With The Bootstrap*
Summary: Proposes a plug-in bootstrap to compute confidence bounds for relational queries over sampled or incomplete data. Easy for DB programmers, broadly applicable, and ready to be integrated into analytic DBMS to provide probabilistic guarantees for AQP. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14 | Online Aggregation | 1997 | SIGMOD | 0.0010801504 |
| 59 | Sampling-Based Estimation of the Number of Distinct Values of an Attribute | 1995 | VLDB | 0.00064501896 |
| 92 | Practical Selectivity Estimation through Adaptive Sampling | 1990 | SIGMOD | 0.00051315959 |
| 217 | Ripple Joins for Online Aggregation | 1999 | SIGMOD | 0.00033536712 |
| 378 | Towards Estimation Error Guarantees for Distinct Values | 2000 | PODS | 0.0002497492 |
| 429 | The Aqua Approximate Query Answering System | 1999 | SIGMOD | 0.00023476494 |
| 1,255 | Fixed-Precision Estimation of Join Selectivity | 1993 | PODS | 0.00013024064 |
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