Matthias Kreuseler

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This paper describes major concepts of a scalable information visualization framework. We assume that the exploration of hete-rogenous information spaces at arbitrary levels of detail requires a suitable preprocessing of information quantities, the combination of different graphical interfaces and the illustration of the frame of reference of given(More)
Information Visualization has become an important research topic in Computer Graphics. One key issue of this topic is the visual presentation of intrinsic structures of complex information spaces. Today nearly all approaches of structure visualization are designed for none-mobile devices such as PCs or workstations. However, mobile handhelds have become(More)
ÐThe exploration of heterogenous information spaces requires suitable mining methods as well as effective visual interfaces. Most of the existing systems concentrate either on mining algorithms or on visualization techniques. This paper describes a flexible framework for Visual Data Mining which combines analytical and visual methods to achieve a better(More)
A major challenge of current visualization and visual data mining (VDM) frameworks is to support users in the orientation in complex visual mining scenarios. An important aspect to increase user support and user orientation is to use a history mechanism that, first of all, provides un- and redoing functionality. In this paper, we present a new approach to(More)
This paper presents work in progress on our approach to visualizing multi-dimensional and hierarchical information. We propose two new graphical user interfaces, the Magic Eye View (MEV) and ShapeVis to explore information spaces. In order to cope with large information sets we combine MEV and ShapeVis with dynamic hierarchical clustering of information(More)
In this paper we present a new technique for visualizing multidimensional information. We describe objects of a higher dimensional information space as small closed free-form-surfaces in the visualization. The location, size and shape of these surfaces describe the original objects in information space uniquely. The underlying enhanced spring model is(More)
An effective way to process a graph that does not fit in RAM is to build a hierarchical partition of its set of vertices. This hierarchy induces a partition of the graph edge set. We use this partition to produce a macro view of the graph. A screen embedding of this macro view is a <i>Graph Sketch</i>. We describe the use of <i>Rectangular FishEye Views</i>(More)
This Paper investigates the combination of numerical and visual exploration techniques focused on cluster analysis of multi-dimensional data. We describe our new developed visualization approaches and selected clustering techniques along with major concepts of the integration and parameterization of these methods. The resulting frameworks and its major(More)
Traditionally, the subject of cartography has been geographic data, while information visualization has dealt with abstract, non-spatial information. With the ever increasing amount of data harvested worldwide, more and more of this data includes both geographic and abstract information at the same time. Efficient visualization of this data calls for the(More)
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