A Model for the Prediction of R-tree Performance
Summary: Analytical cost model predicting R-tree (and variants) disk-accesses for range queries using only dataset statistics (volume and spatial density), so applicable before index construction. Validated on synthetic/real data with ~10–15% error, useful for spatial query optimization. (summarized by gpt-5-mini on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,246 | Parallel R-trees | 1992 | SIGMOD | 9.2075292e-05 |
| 1,114 | Beyond Uniformity and Independence : Analysis of R-trees Using the Concept of Fractal Dimension | 1994 | PODS | 0.00013901031 |
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032169493 |
| 2,030 | Analysis Of Object Oriented Spatial Access Methods | 1987 | SIGMOD | 9.7378136e-05 |
| 1,067 | The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries | 2003 | VLDB | 0.00014327945 |
| 3,255 | A Revised R*-tree in Comparison with Related Index Structures | 2009 | SIGMOD | 7.3160522e-05 |
| 1,811 | A Cost Model for Similarity Queries in Metric Spaces | 1998 | PODS | 0.00010467197 |
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016162015 |
| 148 | Efficient Processing of Spatial Joins Using R-trees | 1993 | SIGMOD | 0.00041182766 |
| 7,519 | A Trajectory Splitting Model for Efficient Spatio-Temporal Indexing | 2005 | VLDB | 4.7180617e-05 |