Rankings are a popular and universal approach to structuring otherwise unorganized
collections of items by computing a rank for each item based on the value of one or more of its …

Visual analytics (VA) is typically applied in scenarios where complex data has to be analyzed.
Unfortunately, there is a natural correlation between the complexity of the data and the …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing …

Multivariate networks are made up of nodes and their relationships (links), but also data about
those nodes and links as attributes. Most real‐world networks are associated with several …

Understanding the recommendations of an artificial intelligence (AI) based assistant for
decision-making is especially important in high-risk tasks, such as deciding whether a mushroom …

An increasing number of interactive visualization tools stress the integration with computational
software like MATLAB and R to access a variety of proven algorithms. In many cases, …

The article discusses the aspect of creating efficient plots in the form of bar charts and box
plots for simple understanding of tasks and data. Topics discussed include the use of bar …

The realm of Artificial Intelligence (AI)’s impact on our lives is far reaching – with AI systems
proliferating high-stakes domains such as healthcare, finance, mobility, law, etc., these …

When analyzing multidimensional, quantitative data, the comparison of two or more groups
of dimensions is a commontask. Typical sources of such data are experiments in biology, …

Evaluating, comparing, and interpreting related pieces of information are tasks that are commonly
performed during visual data analysis and in many kinds of information-intensive work. …