MULTIKEY RETRIEVAL from K-d TREES and QUAD-TREES
Summary: Multi-key retrieval evaluated across K-d trees, quad-trees, and flat files for five query types on a half-million character medical database. Results show no universal winner; quad-trees outperform on some classes, while K-d trees excel on others. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. D A Beckley
- 2. M W Evens
- 3. V K Raman
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | The K-D-B-Tree: A Search Structure for Large Multidimensional Dynamic Indexes | 1981 | SIGMOD | 0.0018380955 |
| 1,707 | A Dynamic Clustering Technique For Physical Database Design | 1980 | SIGMOD | 0.00010803302 |
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