2016.11.30(Wed) ‘Big Data Visual Analytics: Machine Learning Meets Interactive Visualization’ – Jaegul Choo 주재걸 교수(Korea University 고려대학교)
Visual analytics, a recently emerging area, allows humans to explore big data via interactive visualization. One of the biggest challenges in visual analytics is how to utilize and improve computational methods, which reveals meaningful characteristics of large-scale data, in visual analytic environments so that they can properly serve end-users’ tasks and goals. In this talk, I will present mathematical and algorithmic approaches as well as visual analytics systems that address these issues. In detail, the talk will cover some of my research about interactive yet efficient techniques for topic modeling, 2D embedding, and deep learning, along with the visual analytics systems based on them.