Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Image graphs—a novel approach to visual data exploration
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Case study: interactive visualization for internet security
Proceedings of the conference on Visualization '02
Visualization Exploration and Encapsulation via a Spreadsheet-Like Interface
IEEE Transactions on Visualization and Computer Graphics
Multiscale Visualization Using Data Cubes
IEEE Transactions on Visualization and Computer Graphics
An Architecture for Retaining and Analyzing Visual Explorations of Databases
VIS '95 Proceedings of the 6th conference on Visualization '95
A systems and process model for data exploration
A systems and process model for data exploration
GRASPARC: a problem solving environment integrating computation and visualization
VIS '93 Proceedings of the 4th conference on Visualization '93
Detecting Flaws and Intruders with Visual Data Analysis
IEEE Computer Graphics and Applications
A Parallel Coordinates Style Interface for Exploratory Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
A Model and Framework for Visualization Exploration
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Supporting the analytical reasoning process in information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
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Visualization exploration is an iterative process of setting parameters, rendering, and evaluating results. This process can be recorded and analyzed in order to make visualization exploration more efficient and more effective. This work describes methods for visualizing the visualization process using new visualization process graphs; several visualization process relations are introduced to construct these graphs. These methods were used to analyze and improve a network routing visualization, and the results of this analysis are presented. Through this analysis, redundant exploration was quickly identified and eliminated.