Uniform Generation in Spatial Constraint Databases and Applications
Summary: Extends Dyer–Frieze–Kannan sampling to linear-constraint databases, yielding almost-uniform generators for DNF unions and for projections, with conditions for intersections/differences to enable relative-volume estimates. Combines sample convex-hull reconstruction to approximate relations and reconstruct sets for positive-existential queries. (summarized by gpt-5-mini on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 39 | Statistical Estimators for Relational Algebra Expressions | 1988 | PODS | 0.00074745564 |
| 1,415 | Towards a Theory of Spatial Database Queries (Extended Abstract) | 1994 | PODS | 0.0001211468 |
| 1,741 | Relational Expressive Power of Constraint Query Languages | 1996 | PODS | 0.00010714223 |
| 4,346 | Languages for Relational Databases over Interpreted Structures | 1997 | PODS | 6.2725564e-05 |
| 4,369 | An Expressive Language for Linear Spatial Database Queries (extended abstract) | 1998 | PODS | 6.2487721e-05 |
| 4,379 | Safe Constraint Queries | 1998 | PODS | 6.2397591e-05 |
| 4,723 | Exact and Approximate Aggregation in Constraint Query Languages | 1999 | PODS | 5.9714196e-05 |
| 7,993 | Complete geometrical query languages (extended abstract) | 1997 | PODS | 4.6112654e-05 |
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