\invitedTalkHeader
{Solving Problems with Visual Analytics:\break Challenges and Applications}
{Daniel Keim}
{University of Konstanz}
{Daniel.Keim@uni-konstanz.de}
{www.informatik.uni-konstanz.de/arbeitsgruppen/infovis/mitglieder/prof-dr-daniel-keim/}
{Thursday 09:00--10:00}
{Room: Chem, LT1}
{Thursday}

\section*{Abstract}

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 explore and understand large
datasets, while also enabling them to act upon their findings
immediately. Visual analytics integrates the analytic capabilities of
the computer and the perceptual and intellectual abilities of the
human analyst, allowing novel discoveries and empowering individuals
to take control of the analytical process. Visual analytics enables
unexpected 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.

\section*{Bio}

Daniel A. Keim is full professor and head of the Information
Visualization and Data Analysis Research Group at the University of
Konstanz, Germany. He has been actively involved in information
visualization and data analysis research for about 20 years and
developed a number of novel visual analysis techniques for very large
data sets with applications to a wide range of application areas
including financial analysis, network analysis, geo-spatial analysis,
as well as text and multimedia analysis. His research resulted in two
recent books ``Solving problems with Visual Analytics'' and
``Interactive Data Visualization'' which he both co-authored.
Dr. Keim has been program co-chair of the IEEE InfoVis and IEEE VAST
symposia as well as the SIGKDD conference, and he is or was member of
the IEEE InfoVis, IEEE VAST, and EuroVis steering committees. He is an
associate editor of Palgrave's Information Visualization Journal
(since 2001) and has been an associate editor of the IEEE Transactions
on Visualization and Computer Graphics (1999--2004), the IEEE
Transactions on Knowledge and Data Engineering (2002--2007), and the
Knowledge and Information System Journal (2006--2011). He is
coordinator of the German Strategic Research Initiative (SPP) on
Scalable Visual Analytics and he was the scientific coordinator of the
EU Coordination Action on Visual Analytics called VisMaster.  Dr. Keim
got his Ph.D. and habilitation degrees in computer science from the
University of Munich. Before joining the University of Konstanz,
Dr. Keim was associate professor at the University of Halle, Germany
and Technology Consultant at AT\&T Shannon Research Labs, NJ, USA.
