Random Sampling from B+ trees
Summary: Introduces acceptance/rejection (A/R) sampling from standard B+ trees to obtain simple random samples without auxiliary rank data. Compared to ranked B+ tree methods, A/R sampling is retrofit-friendly to existing DBMSs and supports iterative and batch sampling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Frank Olken
- 2. Doron Rotem
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 37 | Statistical Estimators for Relational Algebra Expressions | 1988 | PODS | 0.00075597514 |
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| 6,473 | Efficient Search of Multidimensional B-Trees | 1995 | VLDB | 5.0427056e-05 |
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| 3,965 | Random Sampling from Pseudo-Ranked B+ Trees | 1992 | VLDB | 6.5786424e-05 |