Back to papers
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization
Summary: SAFE: a share-and-aggregate framework for kernel density visualization that reuses work across bandwidths to speed up multiple KDVs. SAFEall (exact) and SAFEexp (2-approx) support on-the-fly bandwidths, delivering order-of-magnitude speedups on up to 4.33M points with preserved visualization quality.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12927
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 4.1945683e-05
- Overall Rank
- 11,417 | 20.58%
- DOI
-
10.14778/3494124.3494135
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 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 |
| 3,313 |
Quality and Efficiency in Kernel Density Estimates for Large Data |
2013 |
SIGMOD |
7.2381634e-05 |
| 3,462 |
Efficient and Provable Multi-Query Optimization |
2017 |
PODS |
7.0703696e-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 |
| 4,584 |
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 |
| 6,753 |
State-Slice: New Paradigm of Multi-query Optimization of Window-based Stream Queries |
2006 |
VLDB |
4.9387235e-05 |
| 7,073 |
Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization |
2020 |
SIGMOD |
4.842703e-05 |
| 9,499 |
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis |
2021 |
VLDB |
4.3341665e-05 |
| 11,421 |
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization |
2022 |
VLDB |
4.1945683e-05 |
| 11,499 |
Fast Augmentation Algorithms for Network Kernel Density Visualization |
2021 |
VLDB |
4.1945683e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 4,584 |
Scalable Kernel Density Classification via Threshold-Based Pruning |
2017 |
SIGMOD |
6.0668364e-05 |
| 11,128 |
LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization |
2024 |
VLDB |
4.1945683e-05 |
| 9,495 |
Fast Network K-function-based Spatial Analysis |
2022 |
VLDB |
4.3341665e-05 |
| 11,002 |
LION: Fast and High-Resolution Network Kernel Density Visualization |
2024 |
VLDB |
4.1945683e-05 |
| 11,334 |
SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization |
2022 |
SIGMOD |
4.1945683e-05 |
| 13,220 |
LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics |
2022 |
VLDB |
- |
| 3,968 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
6.5793715e-05 |
| 11,421 |
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization |
2022 |
VLDB |
4.1945683e-05 |
| 11,499 |
Fast Augmentation Algorithms for Network Kernel Density Visualization |
2021 |
VLDB |
4.1945683e-05 |
| 9,499 |
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis |
2021 |
VLDB |
4.3341665e-05 |