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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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 13; H. 6; S. 1400 - 1407
Hauptverfasser:	Gosink, Luke, Anderson, John, Bethel, Wes, Joy, Kenneth
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2007 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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