QuEval: Beyond high-dimensional indexing a la carte
Summary: QuEval: an open-source, extensible framework to evaluate and tune high-dimensional indexes, supporting arbitrary index structures, distance metrics, and datasets. Unified evaluation enables fair comparisons and insights across diverse index choices. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Martin Schäler
- 2. Alexander Grebhahn
- 3. Reimar Schröter
- 4. Sandro Schulze
- 5. Veit Köppen
- 6. Gunter Saake
Incoming Citations (Sorted by Pagerank)
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Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032169493 |
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016162015 |
| 34 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00076637636 |
| 79 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB | 0.00056242144 |
| 91 | M-tree: An Efficient Access Method for Similarity Search in Metric Spaces | 1997 | VLDB | 0.0005181666 |
| 129 | The X-tree: An Index Structure for High-Dimensional Data | 1996 | VLDB | 0.0004429571 |
| 242 | Generalized Search Trees for Database Systems (Extended Abstract) | 1995 | VLDB | 0.00031110894 |
| 931 | The Pyramid-Technique: Towards Breaking the Curse of Dimensionality | 1998 | SIGMOD | 0.00015238406 |
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