A Visualization Primitive for Multiway Relationships
SeungJin Lim
Abstract
SeungJin Lim
Abstract
With the unprecedented wave of Big Data, the importance of information visualization is catching greater momentum. Understanding the underlying relationships between constituent entities is a common task in every branch of science, and visualization of such relationships is a critical part of data analysis. While the techniques for the visualization of binary relationships are widespread, visualization techniques for ternary or higher relationships are lacking. In this paper, we propose a visualization primitive which is suitable for multiway relationships. Its effectiveness is demonstrated in 3-D visualization.
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With the unprecedented wave of Big Data, the importance of information visualization is catching greater momentum. Understanding the underlying relationships between constituent entities is a common task in every branch of science, and visualization of such relationships is a critical part of data analysis. While the techniques for the visualization of binary relationships are widespread, visualization techniques for ternary or higher relationships are lacking. In this paper, we propose a visualization primitive which is suitable for multiway relationships. Its effectiveness is demonstrated in 3-D visualization.
Key concepts: Visualization, Computer science, Data visualization, Information visualization, Task (project management), Visual analytics, Data science, Data mining