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 | 0.00051431888 |
| 1,254 | Fixed-Precision Estimation of Join Selectivity | 1993 | PODS | 0.00013018797 |
| 63 | Improved Histograms for Selectivity Estimation of Range Predicates | 1996 | SIGMOD | 0.00063595699 |
| 9,387 | Small Selectivities Matter: Lifting the Burden of Empty Samples | 2021 | SIGMOD | 4.341968e-05 |
| 2,779 | Hashed Samples: Selectivity Estimators For Set Similarity Selection Queries | 2008 | VLDB | 8.1314377e-05 |
| 7,573 | Synopses for Query Optimization: A Space-Complexity Perspective | 2004 | PODS | 4.7034681e-05 |
| 3,597 | Graph-Based Synopses for Relational Selectivity Estimation | 2006 | SIGMOD | 6.9337747e-05 |
| 3,955 | Efficiently Approximating Selectivity Functions using Low Overhead Regression Models | 2020 | VLDB | 6.5895015e-05 |
| 373 | Selectivity Estimation using Probabilistic Models | 2001 | SIGMOD | 0.00025354685 |
| 3,656 | Conditional Selectivity for Statistics on Query Expressions | 2004 | SIGMOD | 6.8712579e-05 |