Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …

Visualisation research explores techniques for conveying information in a meaningful way to
allow users to make sense of data. This paper aims to review state-of-the-art information …

Learning and gaining knowledge of Roman history is an area of interest for students and
citizens at large. This is an example of a subject with great sweep (with many interrelated …

Visualizations have a distinctive advantage when dealing with the information overload
problem: Because they are grounded in basic visual cognition, many people understand …

Web standards such as RDF (Resource Description Framework) facilitate data integration
over large number of sources. The resulting interlinked datasets describe objects, their …

Determining similar objects based upon the features of an object of interest is a common
task for visual analytics systems. This process is called profiling, if the object of interest is a …

Visualization helps to comprehend and analyze large amounts of data, a fundamental
necessity for network security due to the large volume of audits traces produced each day. In …

Analysis of large, high-dimensional, and heterogeneous datasets is challenging as no one
technique is suitable for visualizing and clustering such data in order to make sense of the …

We present a method for evaluating visualizations using both tasks and exploration, and
demonstrate this method in a study of spatiotemporal network designs for a visual analytics …

We present a systematic approach to the interactive visual analysis of heterogeneous
scientific data. The data consist of two interrelated parts given on spatial grids over time (eg …