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» Visualizing Program Executions on Large Data Sets
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PVLDB
2008
182views more  PVLDB 2008»
13 years 7 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
VIS
2005
IEEE
150views Visualization» more  VIS 2005»
14 years 8 months ago
VolumeExplorer: Roaming Large Volumes to Couple Visualization and Data Processing for Oil and Gas Exploration
In this paper, we present a volume roaming system dedicated to oil and gas exploration. Our system combines probebased volume rendering with data processing and computing. The dai...
Laurent Castanie, Bruno Lévy, Fabien Bosque...
VISUALIZATION
2005
IEEE
14 years 1 months ago
Query-Driven Visualization of Large Data Sets
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Be...
IV
2005
IEEE
136views Visualization» more  IV 2005»
14 years 1 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
IVS
2002
106views more  IVS 2002»
13 years 7 months ago
Pixel bar charts: a visualization technique for very large multi-attribute data sets?
Simple presentation graphics are intuitive and easy-to-use, but show only highly aggregated data presenting only a very small number of data values (as in the case of bar charts) ...
Daniel A. Keim, Ming C. Hao, Umeshwar Dayal, Meich...