U.S. Department of Energy

Pacific Northwest National Laboratory

Joining Forces from Data Mining and Visual Analytics for Large-scale High-dimensional Data

Monday, June 16, 2014
Dr. Jaegul Choo
Visual analytics, which leverages human exploration via interactive visualization in data analyses, has recently gained popularity. Data mining methods often play a crucial role in visual analytics by providing an important insight about data. In this talk, I will present both fundamental approaches and visual analytics systems that join forces from data mining and visual analytics. First, I will introduce a visual analytics system called the FODAVA testbed where users can obtain crucial understanding of data by applying various data mining methods in an interactive visual manner. Second, I will present another system called UTOPIAN (User-driven Topic Modeling based on Interactive Nonnegative Matrix Factorization), which re-designs computational methods for supporting various user interactions with real-time responses in visual analytics. Several usage scenarios of UTOPIAN will be presented using real-world data sets. Finally, my on-going work and future directions will be discussed.
Speaker Bio

Jaegul Choo is an assistant professor in the Dept. of Computer Science and Engineering at Korea University. He had been a research scientist at Georgia Tech from 2011 to 2014, where we also received M.S in 2009 and Ph.D. in 2013. His research focuses on visual analytics for high-dimensional data, which leverages both data mining and interactive visualization. He has been publishing in premier venues in both fields such as KDD, WWW, WSDM, ICWSM, SDM, TVCG, CG&A, and VAST. He earned the Outstanding Research Scientist Award at Georgia Tech in 2015 and the Best Poster Award at IEEE VAST (a part of IEEE VIS) in 2014, and he was nominated as one of the four finalists in IEEE Visualization Pioneers Group dissertation award in 2013.


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