Our mission is to empower experts, as well as non-data scientists, to solve Big Data problems through Visualizations, Interaction Concepts, and Data Mining techniques.
The Visualization and Graphics Group, led by prof. dr. Alexandru C. Telea, explores and provides visual analysis tools and methods to help scientists and researchers better process and understand large, multi-dimensional, and relational data sets in various domains such as neuroscience, genomics, software engineering, astronomy, and medicine.
Projects
Latest Publications
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ParSetgnostics: Quality Metrics for Parallel Sets
— The Eurographics Association: Eurographics Conference on Visualization (EuroVis).
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The Unmet Data Visualization Needs of Decision Makers within Organizations
— IEEE Transactions on Visualization and Computer Graphics.
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Upward Point Set Embeddings of Paths and Trees
— Springer: WALCOM: Algorithms and Computation - 15th International Conference, WALCOM 2020, Singapore, February 28 - March 2, 2020, Proceedings.
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Using the Metro-Map Metaphor for Drawing Hypergraphs
— Springer: SOFSEM 2021: Theory and Practice of Computer Science - 47th International Conference on Current Trends in Theory and Practice of Computer Science.
News
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Visualization and Graphics Group (VIG)
@UtrechtVIGWelcome to our new twitter account for the Visualization and Graphics Group at the Utrecht University, Netherlands.…