Solving problems with visual analytics: challenges and applications
07 Março 2013 ·
- Quem: Daniel A. Keim
- Onde: FGV -- Praia de Botafogo, 190, sala 317
- Quando: 07 de Março de 2013 às 16:00h
Never before in history data is generated and collected at such high volumes as it is today. As the volumes of data available to business people, scientists, and the public increase, their effective use becomes more challenging. Keeping up to date with the flood of data, using standard tools for data analysis and exploration, is fraught with difficulty. The field of visual analytics seeks to provide people with better and more effective ways to understand and analyze large datasets, while also enabling them to act upon their findings immediately. Visual analytics integrates the analytic capabilities of the computer and the abilities of the human analyst, allowing novel discoveries and empowering individuals to take control of the analytical process. Visual analytics enables unexpected and hidden insights, which may lead to beneficial and profitable innovation. The talk presents the challenges of visual analytics and exemplifies them with several application examples, which illustrate the exiting potential of current visual analysis techniques but also their limitations.
Short Bios
DANIEL A. KEIM is full professor and head of the Information Visualization and Data Analysis Research Group in the Computer Science Department of the University of Konstanz, Germany. He has been actively involved in data analysis and information visualization research for about 20 years and developed a number of novel visual analysis techniques for very large data sets. He is coordinator of the German Strategic Research Initiative (SPP) on Scalable Visual Analytics and the scientific coordinator of the EU Coordination Action on Visual Analytics.
Observação para visitantes
- O seminário será realizado em inglês.
- A presença é gratuíta mas exige a confirmação pelo email .
- A FGV não permite a entrada de pessoas vestindo bermuda e/ou chinelos.