Abstract. Sets comprise a generic data model that has been used in a variety of data analysis approaches. However, Visual Analytics of sets is a non-trivial problem due to the large number of possible elements and relations between them. This talk will give an overview of various Visual Analytics approaches to tackle these problems categorized into six main aspects according to the visual representations they use and the tasks they support. Finally, we identify challenges and opportunities in this area and propose possible research directions. The most important challenge – in my point of view – is Visual Analytics of set systems over time and space
Silvia Miksch (website) is University Professor and head of the Research Division “Visual Analytics” (Centre for Visual Analytics Science and Technology (CVAST)), Institute of Visual Computing and Human-Centered Technology, TU Wien. From 2006 to 2010 she was University Professor and head of the Department of Information and Knowledge Engineering at Danube University Krems, Austria. In April 2010 she established the awarded Laura Bassi Centre of Expertise “CVAST – Center for Visual Analytics Science and Technology ” funded by the Austrian Federal Ministry of Science, Research, and Economy. She has served on various program committees of international scientific conferences and was, for example, conference paper co-chair of the IEEE VAST (2010 and 2011) and EuroVis 2012. She reviewed for several scientific journals, belong/belonged to the editorial board of IEEE TVCG, CGF Wiley. She acts in various strategic and guiding committees, such as the VAST steering committee and the VIS Executive Committee (VEC). She co-authored a survey (state-of-the-art report) on visualizing sets and set-typed data (published 2015 in Computer Graphic Forum (CGF)) and co-organized a Dagstuhl seminar on Visual Analytics for Sets over Time and Space in May 2019.
Her main research interests are Visualization/Visual Analytics (particularly Focus+Context and Interaction) and Time.