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Fast Augmentation Algorithms for Network Kernel Density Visualization
Summary: Fast augmentation algorithms for network kernel density visualization (NKDV) to scale to million-sized spatial datasets. Proposes ADA, IA, and HA to reduce NKDV time complexity, delivering 5x–10x speedups over state-of-the-art NKDV implementations.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12338
- Venue
- VLDB
- Year
- 2021
- Pagerank
- 4.1945683e-05
- Overall Rank
- 11,499 | 20.01%
- DOI
-
10.14778/3461535.3461540
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
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 |
| 389 |
Query Processing in Spatial Network Databases |
2003 |
VLDB |
0.00024620268 |
| 1,654 |
An Experimental Study on Hub Labeling based Shortest Path Algorithms |
2018 |
VLDB |
0.000109978 |
| 2,981 |
Efficient Spatial Sampling of Large Geographical Tables |
2012 |
SIGMOD |
7.7809306e-05 |
| 3,313 |
Quality and Efficiency in Kernel Density Estimates for Large Data |
2013 |
SIGMOD |
7.2381634e-05 |
| 3,919 |
Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration |
2018 |
SIGMOD |
6.631077e-05 |
| 3,968 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
6.5793715e-05 |
| 4,111 |
Effective Caching of Shortest Paths for Location-Based Services |
2012 |
SIGMOD |
6.4427171e-05 |
| 4,584 |
Scalable Kernel Density Classification via Threshold-Based Pruning |
2017 |
SIGMOD |
6.0668364e-05 |
| 5,846 |
POIsam: a System for Efficient Selection of Large-scale Geospatial Data on Maps |
2018 |
SIGMOD |
5.3023698e-05 |
| 7,608 |
Clustering Objects on a Spatial Network |
2004 |
SIGMOD |
4.6967024e-05 |
| 9,499 |
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis |
2021 |
VLDB |
4.3341665e-05 |
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