Back to papers
SLAM: Efficient Sweep Line Algorithms for Kernel Density Visualization
Summary: SLAM: efficient Sweep Line Algorithms for Kernel Density Visualization on million-scale data and high-res grids. RAO yields lowest time complexity; 1–2 order speedups on up to 4.33M points with fast zoom/pan versus state-of-the-art.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6279
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 5.1725247e-05
- Overall Rank
- 11,336 | 21.22%
- DOI
-
10.1145/3514221.3517823
Incoming Non-self Citations Over Time
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 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 1,852 |
Scalable Sweeping-Based Spatial Join |
1998 |
VLDB |
9.7006064e-05 |
| 2,745 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
8.2372215e-05 |
| 3,066 |
Quality and Efficiency in Kernel Density Estimates for Large Data |
2013 |
SIGMOD |
7.8598246e-05 |
| 3,679 |
Approximate MaxRS in Spatial Databases |
2013 |
VLDB |
7.2687059e-05 |
| 4,234 |
Scalable Kernel Density Classification via Threshold-Based Pruning |
2017 |
SIGMOD |
6.8799054e-05 |
| 5,044 |
On Finding Skylines in External Memory |
2011 |
PODS |
6.4552469e-05 |
| 6,036 |
A Forward Scan based Plane Sweep Algorithm for Parallel Interval Joins |
2017 |
VLDB |
6.0601032e-05 |
| 8,804 |
I/O-Efficient Planar Range Skyline and Attrition Priority Queues |
2013 |
PODS |
5.4311509e-05 |
| 9,494 |
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis |
2021 |
VLDB |
5.3246578e-05 |
| 11,420 |
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization |
2022 |
VLDB |
5.1725247e-05 |
| 11,424 |
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization |
2022 |
VLDB |
5.1725247e-05 |
| 11,503 |
Fast Augmentation Algorithms for Network Kernel Density Visualization |
2021 |
VLDB |
5.1725247e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 3,066 |
Quality and Efficiency in Kernel Density Estimates for Large Data |
2013 |
SIGMOD |
7.8598246e-05 |
| 10,430 |
A Fast Line Density Visualization Plugin for Geographic Information Systems |
2025 |
SIGMOD |
5.1725247e-05 |
| 11,005 |
LION: Fast and High-Resolution Network Kernel Density Visualization |
2024 |
VLDB |
5.1725247e-05 |
| 11,131 |
LARGE: A Length-Aggregation-based Grid Structure for Line Density Visualization |
2024 |
VLDB |
5.1725247e-05 |
| 11,397 |
LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics |
2022 |
VLDB |
5.1725247e-05 |
| 2,745 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
8.2372215e-05 |
| 11,503 |
Fast Augmentation Algorithms for Network Kernel Density Visualization |
2021 |
VLDB |
5.1725247e-05 |
| 11,420 |
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization |
2022 |
VLDB |
5.1725247e-05 |
| 9,494 |
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis |
2021 |
VLDB |
5.3246578e-05 |
| 11,424 |
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization |
2022 |
VLDB |
5.1725247e-05 |