Interactive data visualization is inherently an iterative trial-and-error process searching for an ideal set of parameters for classifying and rendering features of interest in the data. This paper presents 3-d region growing based techniques that can assist the users to locate and define features of interest in volume data more quickly and more accurately. One technique employs partial region ...

This paper provides an assessment of the most recent empirical research into the effectiveness of argument visualization tools. In particular, the methodological quality of the reported experiments and the conclusions drawn from them are critically examined. Their validity is determined and the methodological differences between them are clarified. The discrepancies in intended effects of use e...

Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to...

We conducted a between-subject experiment with 32 participants to explore how two different models of information visualization delivery influence narratives constructed by audiences. The first model involves direct narrative by a speaker using visualization software to tell a data story, while the second model involves constructing a story by interactively exploring the visualization software....

The context-aware discovery and ranking of visualization components is a crucial part of an adaptive, automated information visualization system. Since existing approaches allow for using expert knowledge formalized a priori, insights gained during the visualization processes by the users, e. g., suitable data-visualization combinations, are mostly neglected. In this paper, we propose a concept...

In this paper, we present some of our recent experiences with a data visualization tool and offer some use cases where the visualization tool can potentially drive programmatic change in universities. The Ribbon Tool provides an interactive visualization of student flows through academic programs, progressing over time to either successful completion (graduation) or attrition. Through effective...

I would like to congratulate M. Hubert, P. Rousseeuw and P. Segaert for this stimulating and useful work on outlier detection methods for multivariate functional data. They define and classify rigorously different types of functional outliers and propose several techniques for detecting them in multivariate functional data. These authors use the notion of data depth and distances derived from t...

In this work, we present a novel approach for data visualization based on interactive dimensionality reduction (iDR). The main idea of the paper relies on considering for visualization the intermediate results of non-convex DR algorithms under changes on the metric of the input data space driven by the user. With an appropriate visualization interface, our approach allows the user to focus on t...