Variable Interactions in Query-Driven Visualization

Our ability to generate ever-larger, increasingly-complex data, has established the need for scalable methods that identify, and provide insight into, important variable trends and interactions. Query-driven methods are among the small subset of techniques that are able to address both large and hig...

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Vydané v:	IEEE transactions on visualization and computer graphics Ročník 13; číslo 6; s. 1400 - 1407
Hlavní autori:	Gosink, Luke, Anderson, John, Bethel, Wes, Joy, Kenneth
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.11.2007 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Analytical models Chemicals Combustion Correlation Data visualization Distribution functions Fires Histograms Large-scale systems Mathematical analysis Mathematical models Multivariate Data Performance analysis Query processing Query-Driven Visualization Throughput Trends Utilities Visualization
ISSN:	1077-2626, 1941-0506
On-line prístup:	Získať plný text
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