The new iVAC Newsletter for October ’09 has arrived!

This is the twentieth in a series of Annual Conferences supported by the European Commission, which regularly attracts over 650 delegates from leading commercial, government and research organisations around the world to share knowledge and experience, lessons learnt and good practice.

Graphics become Smart Graphics when their design and implementation are grounded in an understanding of human abilities, activities, and motivations from design experience and the broad spectrum of cognitive and social sciences.

In the VAST Challenge 2009 suspicious behavior had to be detected applying visual analytics to heterogeneous data, such as network traffic, social network enriched with geo-spatial attributes, and finally video surveillance data. This paper describes some of the awarded parts from our solution entry.

Visual Analytics is also a topic in German television. Check out the video.

Daniel A. Keim and Florian Mansmann and Jörn Schneidewind and Hartmut Ziegler, Challenges in Visual Data Analysis, 2006, Information Visualization (IV 2006) ,Invited Paper, London, United Kingdom, Ieee Press, 2006, [bibtex]

@inproceedings{Keim-6,
  author = {Daniel A. Keim and Florian Mansmann and Jörn Schneidewind and Hartmut Ziegler},
  title = {Challenges in Visual Data Analysis},
  month = {July},
  year = {2006},
  note = {Information Visualization (IV 2006) ,Invited Paper, London, United Kingdom, Ieee Press, 2006},
}

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 [...]