Christian Eichner
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Author Swipe
Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques Open
Time series segmentation is employed in various domains and continues to be a relevant topic of research. A segmentation pipeline is composed of different steps involving several parameterizable algorithms. Existing Visual Analytics approa…
Multi-display Visual Analysis: Model, Interface, and Layout Computation Open
Modern display environments offer great potential for involving multiple users in presentations, discussions, and data analysis sessions. By showing multiple views on multiple displays, information exchange can be improved, several perspec…
Making Parameter Dependencies of Time‐Series Segmentation Visually Understandable Open
This work presents an approach to support the visual analysis of parameter dependencies of time‐series segmentation. The goal is to help analysts understand which parameters have high influence and which segmentation properties are highly …
Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series Open
For the automatic segmentation of multivariate time series domain experts at first need to consider a huge space of alternative configurations of algorithms and parameters. We assume that only a small subset of these configurations needs t…
Supporting Visual Parameter Analysis of Time Series Segmentation with Correlation Calculations Open
Parameter analysis can be used to find out how individual parameters influence the output of an algorithm. We aim to support the visual parameter analysis of algorithms for the segmentation of time series. To this end, we automatically sea…
Direct Visual Editing of Node Attributes in Graphs Open
There are many expressive visualization techniques for analyzing graphs. Yet, there is only little research on how existing visual representations can be employed to support data editing. An increasingly relevant task when working with gra…