Daniel A. Keim and Florian Mansmann and Jörn Schneidewind and Hartmut Ziegler and Jim Thomas, Visual Analytics: Scope and Challenges, 2008, Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, Lecture Notes In Computer Science (lncs), [download], [bibtex]

@inproceedings{Keim-7,
  author = {Daniel A. Keim and Florian Mansmann and Jörn Schneidewind and Hartmut Ziegler and Jim Thomas},
  title = {Visual Analytics: Scope and Challenges},
  month = {December},
  year = {2008},
  note = {Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, Lecture Notes In Computer Science (lncs)},
}

Daniel A. Keim and Florian Mansmann and Daniela Oelke and Hartmut Ziegler, Visual Analytics: Combining Automated Discovery with Interactive Visualizations, 2008, Discovery Science,pp. 2-14, ISBN 978-3-540-88410-1., [download], [bibtex]

@inproceedings{Keim-5,
  author = {Daniel A. Keim and Florian Mansmann and Daniela Oelke and Hartmut Ziegler},
  title = {Visual Analytics: Combining Automated Discovery with Interactive Visualizations},
  month = {December},
  year = {2008},
  note = {Discovery Science,pp. 2-14, ISBN 978-3-540-88410-1.},
}

Visual analytics is the science of analytical reasoning supported by interactive visual interfaces according to. Over the last decades data was produced at an incredible rate. However, the ability to collect and store this data is increasing at a faster rate than the ability to analyze it. While purely automatic or purely visual analysis methods [...]

The term Visual Analytics has been around for almost five years by now, but still there are on-going discussions about what it actually is and in particular what is new about it. The core of our view on Visual Analytics is the new enabling and accessible analytic reasoning interactions supported by the combination of automated [...]

Daniel A. Keim and Joern Kohlhammer and Giuseppe Santucci and Florian Mansmann and Franz Wanner and Matthias Schaefer, Visual Analytics Challenges, 2009, pp.8, Echallenges 2009, Istanbul, Turkey, [download], [bibtex]

@inproceedings{Keim-1,
  author = {Daniel A. Keim and Joern Kohlhammer and Giuseppe Santucci and Florian Mansmann and Franz Wanner and Matthias Schaefer},
  title = {Visual Analytics Challenges},
  pages = {8},
  year = {2009},
  note = {Echallenges 2009, Istanbul, Turkey},
}

Remote sensing image repositories are the fastest growing archives of spatio-temporal information. This leads to large time-series that geoscientists need to explore and understand. Effective exploratory tools are urgently needed to handle the large data sets efficiently. Common application areas that require such tools are, amongst others: climate change and environmental monitoring studies, hazard analysis, [...]

Harald Bosch, Julian Heinrichm, Benjamin Höferlin, Markus Höferlin, Steffen Koch, Christoph Müller, Guido Reina, Michael Wörner Description The VAST 2009 Challenge consisted of three heterogeneous synthetic data sets organized into separate mini-challenges with minimal correspondence information. The challenge task was the identification of a suspected data theft from cyber and real-world traces. The grand challenge [...]

Environmental simulation models are created to understand environmental processes and to analyse future scenarios. To asses the quality of simulation models various methods are applied, one is to validate model output against collected data. [...]

The Swedish road administration has for this winter season introduced an advanced road warning prediction system that has been developed in close collaboration with Swedish Meteorological and Hydrological Institute SMHI. [...]

The shipping industry has a need to draw accurate conclusions and make well planned decisions regarding routes and weather factors. There are a large number of variables affecting the success of every sea voyage performed by vessels such as cargo ships. Important aspects being considered are speed, safety and costs because of their direct impact [...]