Thursday, May 26, 2011, 10:00 am — bldg 815E
The growth of digital data is tremendous. Any aspect of life and matter is being recorded and stored on cheap disks, either in the cloud, in businesses, or in research labs. We can now afford to explore very complex relationships with many variables playing a part. But for this we need powerful tools that allow us to be creative, to sculpt this intricate insight from the raw block of data and finally create a formal model capturing this insight. High-quality visual feedback plays a decisive role here. In this talk, I will discuss various platforms we have developed in our group over the years that make the exploration of multivariate (high-dimensional) data more intuitive and direct. Specifically, I will discuss our recent work on illustrative parallel coordinates, low-dimensional space embedding, map-based space navigation with dimension management, and multivariate scatterplots. Applying and extending the work presented here for the FASTER project is the aim of a recently awarded BNL LDRD grant.
Hosted by: Yangang Liu
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