Processing Moving kNN Queries Using Influential Neighbor Sets
Summary: Replaces costly safe-region maintenance for moving kNN queries with a small set of safe-guarding (influential) objects. Proves the induced region is maximally safe, minimizing recomputation while avoiding order-k Voronoi construction; experiments show superiority. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chuanwen Li (Northeastern University)
- 2. Yu Gu (Northeastern University)
- 3. Jianzhong Qi (University of Melbourne)
- 4. Ge Yu (Northeastern University)
- 5. Rui Zhang (University of Melbourne)
- 6. Wang Yi (Northeastern University)
BibTeX Citation
@article{li_vldb15,
title = {{Processing Moving kNN Queries Using Influential Neighbor Sets}},
author = {Li, Chuanwen and Gu, Yu and Qi, Jianzhong and Yu, Ge and Zhang, Rui and Yi, Wang},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {2},
pages = {113--124},
doi = {10.14778/2735471.2735473},
url = {https://doi.org/10.14778/2735471.2735473},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,408 | Closest Pairs Search Over Data Stream | 2023 | SIGMOD | 5.093636e-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.
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