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ISVC
2010
Springer
13 years 3 months ago
Using R-Trees for Interactive Visualization of Large Multidimensional Datasets
Large, multidimensional datasets are difficult to visualize and analyze. Visualization interfaces are constrained in resolution and dimension, so cluttering and problems of project...
Alfredo Giménez, René Rosenbaum, Mar...
DASFAA
2005
IEEE
133views Database» more  DASFAA 2005»
13 years 11 months ago
Mining Frequent Tree-Like Patterns in Large Datasets
In this paper, we propose a novel data mining scheme to explore the frequent hierarchical structure patterns, named tree-like patterns, with the relationship of each item on a sequ...
Tzung-Shi Chen, Shih-Chun Hsu
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
13 years 11 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
EGPGV
2004
Springer
214views Visualization» more  EGPGV 2004»
13 years 10 months ago
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters
We describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object ...
Magnus Strengert, Marcelo Magallón, Daniel ...
EGPGV
2004
Springer
175views Visualization» more  EGPGV 2004»
13 years 10 months ago
Interactive Parallel Visualization of Large Particle Datasets
This paper presents a new interactive parallel method for direct visualization of large particle datasets. Based on a parallel rendering cluster, a frame rate of 9 frames-per-seco...
Kevin Liang, Patricia Monger, Huge Couchman