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Large-Scale Multidimensional Exploratory Data Visualization

CCI Project Lead: Chaomei Chen

Supported By: IMS Health

About the Project

The project aims to develop a set of innovative visual analytic tools for exploratory and explanatory data visualization so that analysts are able to reveal insightful patterns effectively in large-scale multidimensional data. The research particularly focuses on two fundamental challenges across a wide variety of such data set -- flexibility and scalability. The research has developed a Scalable and Coordinated Multidimensional Exploration (SCME) framework and produced innovative and viable solutions to meet the challenges for both flexibility and scalability.