Machine Learning in Visual Analytics

Abstract
In the data-driven era, it is important for the user to understand and get insight from the data. Thus, a driving need for systems that enable people to analyze and understand data is increasing over the years. Visual analytics (VA) is an inter-disciplinary domain that combines data visualization with machine learning (ML) and other automated techniques to create systems that help people make sense of data. In this talk, I will briefly summarize the machine learning methods utilized in visual analytics to date. Further, the opportunities within both disciplines that can drive important research directions in the future will be discussed. 

Bio
Chaoran Fan is working towards the PhD degree at the Department of Informatics, University of
Bergen, Norway. His research interest focuses on information visualization, specifically for
improving user interaction in visual analytics by leveraging the machine learning knowledge.