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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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