2016Unpublished venueRequires access

A Visualization Primitive for Multiway Relationships

SeungJin Lim

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Visualization, Computer science, Data visualization, Information visualization, Task (project management), Visual analytics, Data science, Data mining

Related papers

Back to paper searchBrowse research topicsOriginal source
A Visualization Primitive for Multiway Relationships — Research Paper | ScholarLens