The aim of this work is to survey and reflect on the various ways visualization and data mining can be integrated to achieve effective knowledge discovery by involving the best of human and machine capabilities. Following a bottom-up bibliographic research approach, the article categorizes the observed techniques in classes, highlighting current trends, gaps, and potential future directions for research.

Pagrave-Macmillian has published a special issue of the Information Visualization journal on Foundation and Frontiers of Visual Analytics.

Guest Editors: Joe Kielman and Jim Thomas

Volume 8, Number 4, Winter 2009
http://palgrave-journals.com/ivs/

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.},
}

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},
}

VoSON (Visualization of Self-Organizing Network) is developed in close collaboration with our research telecom partner Ericsson and allows the operators to follow, interact with and analyze the evolution of a self-organizing network under the operation of an automatic algorithm such as ANR. VoSON increases comprehension of the behaviour of a self-organizing network and supports network [...]