University of Konstanz
Graduiertenkolleg / PhD Program
Computer and Information Science

Henrico Dolfing

Research Student in the PhD program from 01.10.2005 to 30.09.2006.
Currently Business Consultant at Océ Document Technologies GmbH.


Prof. Dr. Daniel Keim
Jörn Schneidewind

organisational data

Room: D 339
Tel.: n/a
E-mail: Henrico.Dolfing "at"

project description

Scalable Visualization of Large Temporal Datasets

Many visualization problems arise from the ever increasing volume, complexity and dynamic nature of today's data sets, since most existing visualization metaphors and concepts do not scale well on such large data sets as interaction capabilities and visual representations suffer from the massive number of data points.

In this context the aim of this research project is the development of a scalable visual analysis technique for temporal data sets and temporal data streams based on a tree-based, relevance driven approach that provides a compact representations of the data, and thus reduces the data volume in the visualization step. The basic idea is to provide the data at different granularities, based on the relevance of single data points or sets of them. To reach this goal the project includes the definition of the necessary data structures, the appropriate relevance functions, prototyping and the integration of the new technique into the CircleView framework [].


The following list of publications covers only those, which are or were published during participation at the Graduiertenkolleg / PhD program.

Conference Papers

  • Keim, D., Schneidewind, J., Panse, C., Sips, M., Haddick, J., Dill, F., Dolfing, H., IVC05 exploration toolkit, IEEE Symposium on Information Visualization (InfoVis), Contest Paper (Honorable Mention), October 23-25, Minneapolis, MN, USA, 2005, IEEE Press.

Master Theses