This in turn requires the provision of suitable data already at the information fusion. Object movements are seen as a peculiar characteristic attribute of the information fusion in regard to visualization. On the one hand an additional set of presentation variables is needed because the visualization of data to be fusioned often uses the conventional variables such as color, shape, and position for its own. On the other hand it is expected that good correspondents exist for processes of the fusion which can be expressed by object movements. Such object movements are in a need of specific interaction techniques to provide access to moving objects and movement parameters by the user.
User interaction is to be considered early in the work of the research group.
Thereby data can be collected early and be provided in a structured manner that makes it accessible by the visualization. In case interaction would not be considered early, suitable interaction methods can be brought in later on only at the cost of very high efforts. In the project, visual data mining methods will be developed with the goal of examining and linking data from different applications participating in the information fusion process. The main objective of the project is to develop and evaluate a visual data mining system allowing an efficient and effective exploration of the data to be fused. Most of the currently used cluster algorithms can not handle large multidimensional datasets in an efficient and effective way.