2018/02/22 by A. Endert, W. Ribarsky, C. Turkay +4 · 2 citations
Mathematics · Computer Science · #stat.ML #cs.HC #cs.LG
paper · pdf · doi:10.1111/cgf.13092
published as Computer Graphics Forum, Wiley, 2017, 36 (8), pp.458 - 486
arxiv created 2018/02/22 · arxiv updated 2018/06/25
Visual analytics systems combine machine learning or other analytic techniques with interactive data visualization to promote sensemaking and analytical reasoning. It is through such techniques that people can make sense of large, complex data. While progress has been made, the tactful combination of machine learning and data visualization is still under-explored. This state-of-the-art report presents a summary of the progress that has been made by highlighting and synthesizing select research advances. Further, it presents opportunities and challenges to enhance the synergy between machine learning and visual analytics for impactful future research directions.