Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses
Summary: Novel approach to fuse synopses (histograms) and sampling for conjunctive-query selectivity estimation. It extracts mutually consistent statistics from both sources, then computes an admissible combined estimate and benchmarks its accuracy and tradeoffs against state-of-the-art methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Magnus Müller
- 2. Guido Moerkotte
- 3. Oliver Kolb
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 92 | Practical Selectivity Estimation through Adaptive Sampling | 1990 | SIGMOD | 0.00051315959 |
| 1,255 | Fixed-Precision Estimation of Join Selectivity | 1993 | PODS | 0.00013024064 |
| 64 | Improved Histograms for Selectivity Estimation of Range Predicates | 1996 | SIGMOD | 0.00063612837 |
| 2,779 | Hashed Samples: Selectivity Estimators For Set Similarity Selection Queries | 2008 | VLDB | 8.1320575e-05 |
| 9,380 | Small Selectivities Matter: Lifting the Burden of Empty Samples | 2021 | SIGMOD | 4.3461329e-05 |
| 7,581 | Synopses for Query Optimization: A Space-Complexity Perspective | 2004 | PODS | 4.7057641e-05 |
| 3,593 | Graph-Based Synopses for Relational Selectivity Estimation | 2006 | SIGMOD | 6.9385476e-05 |
| 3,954 | Efficiently Approximating Selectivity Functions using Low Overhead Regression Models | 2020 | VLDB | 6.5926838e-05 |
| 372 | Selectivity Estimation using Probabilistic Models | 2001 | SIGMOD | 0.00025354779 |
| 3,651 | Conditional Selectivity for Statistics on Query Expressions | 2004 | SIGMOD | 6.8768678e-05 |