Charla: “Visual-Interactive Data Analysis – Obtaining Insight into Complex Data Using Interaction, Visualization, and Data Mining”


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Charlista: 
Tobias Schreck Professor Graz University of Technology, Austria
Fecha: 
10 Marzo, 2017 - 11:00
Sala: 
Auditorio Ramón Picarte, Piso 3, Edificio Norte
Organización: 
Prof. Benjamín Bustos

Tobias Schreck holds a Professor position with the Institute for Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. Between 2011 and 2015, he was an Assistant Professor with the Data Analysis and Visualization Group at University of Konstanz, Germany. Between 2007 and 2011 he was a Postdoc researcher and head of a junior research group on Visual Search and Analysis with Technische Universität Darmstadt, Germany. Tobias Schreck obtained a PhD in Computer Science in 2006, and a Master of Science degree in Information Engineering in 2002, both from the University of Konstanz. He works in the areas of Visual Analytics, 3D Object Retrieval, and Digital Libraries. His research interests include visual search and analysis in time-oriented, high-dimensional and 3D object data, with applications in data analysis, multimedia retrieval and cultural heritage. He serves as a paper co-chair for the IEEE VIS Conference on Visual Analytics Science and Technology (VAST) in 2017. He previously has served as co-chair for Posters, Workshops and Panels for IEEE VIS, as well as a co-organizer for the EuroG

raphics Workshop on 3D Object Retrieval.

 

Abstract:

Advances in data acquisition and storage technology lead to the creation of increasingly large, complex data sets across application domains as diverse as science, engineering, business, social media, or team sports analysis. Important user tasks for leveraging large, complex data sets include finding relevant information, exploring for patterns and insights, and re-using of data for authoring purposes. Novel methods in visual-interactive data analysis allow to tightly integrate knowledge of domain analysts with automatic data analysis methods, offering solutions for complex analysis problems.  We discuss visual-interactive data analysis techniques from our work that support search and analysis in a variety of different data types and enabling novel application scenarios. Specifically, we discuss approaches for visual exploration of patterns in social media data, visual analysis of team sport data, example- and sketch-based search in multidimensional data sets, and interactive regression modeling. We conclude the talk by discussing research challenges in the area.