Fusion: interactive coordination of diverse data, visualizations, and mining algorithms

Authors:
Chris North;Nathan Conklin;Kiran Indukuri;Varun Saini;Qiang Yu
Affiliations:
Virginia Polytechnic Institute and State University, Blacksburg, VA;Virginia Polytechnic Institute and State University, Blacksburg, VA;Virginia Polytechnic Institute and State University, Blacksburg, VA;Virginia Polytechnic Institute and State University, Blacksburg, VA;Virginia Polytechnic Institute and State University, Blacksburg, VA
Venue:
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Year:
2003

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Abstract

Fusion is a web-based system that enables end-users to rapidly and dynamically construct personalized visualization workspaces without programming. Users first use advanced data schemas to link diverse data sources. Then they use visualization schemas to coordinate visualization components and data-mining algorithms according to the unique needs of their data and tasks. They create a custom interactive visualization workspace that can be published on the web. This is accomplished through the Fusion model and user interface that is based on schema concepts that are easy to learn and simple to use.