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» Query-Driven Visualization of Large Data Sets
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SC
2009
ACM
13 years 11 months ago
Terascale data organization for discovering multivariate climatic trends
Current visualization tools lack the ability to perform fullrange spatial and temporal analysis on terascale scientific datasets. Two key reasons exist for this shortcoming: I/O ...
Wesley Kendall, Markus Glatter, Jian Huang, Tom Pe...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
13 years 10 months ago
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
GIS
2009
ACM
13 years 9 months ago
GeoDec: a multi-layered query processing framework for spatio-temporal data
Harnessing the potential of today’s ever growing and dynamic geospatial data requires the development of novel visual analysis interfaces, tools and technologies. In this paper,...
Luciano Nocera, Arjun Rihan, Songhua Xing, Ali Kho...
VL
1996
IEEE
157views Visual Languages» more  VL 1996»
13 years 9 months ago
Visualizing Program Executions on Large Data Sets
Understanding and interpreting a large data source is an important but challenging operation in many technical disciplines. Computer visualization has become a valuable tool to he...
John T. Stasko, Jeyakumar Muthukumarasamy
IV
2005
IEEE
136views Visualization» more  IV 2005»
13 years 10 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim