GORDER: An Efficient Method for KNN Join Processing
Summary: GORDER accelerates high-dimensional KNN joins by G-ordering data and scheduling block-nested-loop comparisons. Distance-computation filtering/reduction cuts CPU and I/O costs, substantially outperforming prior methods on clustered and real datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chenyi Xia (National University of Singapore)
- 2. Hongjun Lu (Hong Kong University of Science and Technology)
- 3. Beng Chin Ooi (National University of Singapore)
- 4. Jing Hu (National University of Singapore)
BibTeX Citation
@article{xia_vldb04,
title = {{GORDER: An Efficient Method for KNN Join Processing}},
author = {Xia, Chenyi and Lu, Hongjun and Ooi, Beng Chin and Hu, Jing},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {756},
doi = {10.1016/B978-012088469-8.50067-X},
url = {https://doi.org/10.1016/B978-012088469-8.50067-X},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,175 | Efficient Processing of k Nearest Neighbor Joins using MapReduce | 2012 | VLDB | 8.918268e-05 |
| 3,811 | On the Complexity of Inner Product Similarity Join | 2016 | PODS | 7.0061203e-05 |
| 6,795 | An Incremental Hausdorff Distance Calculation Algorithm | 2011 | VLDB | 5.6785871e-05 |
| 8,829 | Spatial Queries with Two kNN Predicates | 2012 | VLDB | 5.2669831e-05 |
| 9,688 | Rank Join Queries in NoSQL Databases | 2014 | VLDB | 5.1403642e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 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 | 0.0019923528 |
| 28 | Nearest Neighbor Queries | 1995 | SIGMOD | 0.00051292389 |
| 142 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00029189529 |
| 146 | Efficient Processing of Spatial Joins Using R-trees | 1993 | SIGMOD | 0.00029048509 |
| 752 | Partition Based Spatial-Merge Join | 1996 | SIGMOD | 0.00014239937 |
| 994 | Spatial Hash-Joins | 1996 | SIGMOD | 0.00012630797 |
| 1,552 | Incremental Distance Join Algorithms for Spatial Databases | 1998 | SIGMOD | 0.00010270215 |
| 1,634 | Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces | 2000 | VLDB | 0.00010013999 |
| 1,998 | Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data | 2001 | SIGMOD | 9.2123795e-05 |
| 2,589 | Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations | 1997 | VLDB | 8.2479257e-05 |
| 3,017 | Indexing the Distance: An Efficient Method to KNN Processing | 2001 | VLDB | 7.7455245e-05 |
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|---|---|---|---|---|
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| 7 | 8,046 | Efficiently Computing Join Orders with Heuristic Search | 2023 | SIGMOD |
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| 9 | 2,577 | ClusterJoin: A Similarity Joins Framework using Map-Reduce | 2014 | VLDB |
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