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Keynote address: New approaches to large data visualization

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1 Author(s)
Kwan-Liu Ma ; Univ. of California, Davis, CA, USA

Advanced computing and imaging technologies enable scientists to study natural and physical phenomena at unprecedented precision, resulting in an explosive growth of data. Furthermore, the size of the collected information about the Internet and mobile device users is expected to be even greater, a daunting challenge we must address in order to make sense and maximize utilization of all the available information for decision making and knowledge discovery. I will introduce a few new approaches to large data visualization for revealing hidden structures and gleaning insights from large, complex data found in many areas of study.

Published in:

Pacific Visualization Symposium (PacificVis), 2011 IEEE

Date of Conference:

1-4 March 2011