Events & News
Colloquium
| Category | Lecture |
| Date | Tuesday, February 18, 2014 |
| Time | 11:00 am |
| Concludes | 12:15 pm |
| Location | Gould-Simpson 906 |
| Details | Please join us for coffee and light refreshments at 1045am in the 9th Floor Atrium. Faculty Host: Stephen Kobourov |
| Speaker | Yifan Hu |
| Affiliation | AT&T Labs |
Visualizing Streaming Text Data with Dynamic Maps
While visualization and data mining are often considered two different areas, they are in fact highly related, and can be considered two sides of the same coin with regards to understanding big data. In this presentation, I will first discuss the current state of the art in algorithms for visualizing large graphs. This will be followed by a look at the problem of visualizing clusters in graphs, using an algorithm which representing clusters as virtual maps. We then extend the technique to visualize streaming text, including tweets, and introduce a system called TwitterScope (http://tibesti.research.att.com/twitterscope/search.html).
Biography
Yifan Hu received his B.S. and M.S. in Applied Mathematics from Shanghai Jiao-Tong University, and Ph.D. in Optimization from Loughborough University, UK. He is a Principal Member of Technical Staff in the Information Visualization Department at AT&T Labs. Prior to joining AT&T Labs, he worked at Wolfram Research, and at Daresbury Laboratory, UK. His research interests include numerical and combinatorial algorithms, visualization and data mining.