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| Author(s) |
Keim, D., Mansmann, F., Schneidewind, J., Ziegler, H. |
| Title |
Challenges in visual data analysis |
| Abstract |
In today’s applications data is produced at unprecedented
rates. While the capacity to collect and store new
data rapidly grows, the ability to analyze these data volumes
increases at much lower rates. This gap leads to new
challenges in the analysis process, since analysts, decision
makers, engineers, or emergency response teams depend on
information hidden in the data. The emerging field of visual
analytics focuses on handling these massive, heterogenous,
and dynamic volumes of information through integration
of human judgement by means of visual representations
and interaction techniques in the analysis process. Furthermore,
it is the combination of related research areas including
visualization, data mining, and statistics that turns visual
analytics into a promising field of research. This paper
aims at providing an overview of visual analytics, its scope
and concepts, and details the most important technical research
challenges in the field. |
| Download |
KeMaSc06.pdf |
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