An Efficient and Scalable Approach to CNN Queries in a Road Network
Summary: UNICONS accelerates nearest-neighbor and continuous NN queries over road networks by integrating precomputed NN lists into Dijkstra’s algorithm. A mathematical formulation derives CNN results, delivering up to 3.5× and 5× speedups over network-distance methods, especially across varying object densities. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hyung-Ju Cho (Korea Advanced Institute of Science and Technology)
- 2. Chin-Wan Chung (Korea Advanced Institute of Science and Technology)
BibTeX Citation
@article{cho_vldb05,
title = {{An Efficient and Scalable Approach to CNN Queries in a Road Network}},
author = {Cho, Hyung-Ju and Chung, Chin-Wan},
journal = {PVLDB},
series = {{VLDB} '05},
volume = {31},
pages = {865--876},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.001157935 |
| 449 | Query Processing in Spatial Network Databases | 2003 | VLDB | 0.0001826404 |
| 665 | Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases | 2004 | VLDB | 0.00015167291 |
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