Intelligent Visualization Interfaces

Visualization transforms large quantities of data into pictures in which relations, patterns, or trends of interest in the data reveal themselves to effectively guide the user in the data reasoning and discovery process. Visualization has become an essential tool in many areas of study that use a data-driven approach to problem solving and decision making. However, when the data is large relational or high-dimensional, it can take both novices and experts substantial effort to derive and interpret visualization results from the data. Following the resurgence of AI and machine learning technology in recent years, in the field of visualization, there is also the growing interest and opportunity in applying AI and machine learning to perform data transformation and to assist in the generation and interpretation of visualization, aiming to strike a balance between cost and performance. In this talk, I will present designs made by my group effectively making use of machine learning for general data visualization and analytics tasks [1, 2, 3, 4, 5, 6], resulting in better visualization interfaces into the data.