Recommender systems have been researched extensively over the past decades. Whereas
several algorithms have been developed and deployed in various application domains …

We present a model for building, visualizing, and interacting with multiscale representations
of information visualization techniques using hierarchical aggregation. The motivation for …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

Data analysis often involves the comparison of complex objects. With the ever increasing
amounts and complexity of data, the demand for systems to help with these comparisons is …

Scatterplots remain one of the most popular and widely-used visual representations for
multidimensional data due to their simplicity, familiarity and visual clarity, even if they lack …

Radial visualization, or the practice of displaying data in a circular or elliptical pattern, is an
increasingly common technique in information visualization research. In spite of its …

Data visualization is by far the most commonly used mechanism to explore data, especially
by novice data analysts and data scientists. And yet, current visual analytics tools are rather …

Network data is ubiquitous; e-mail traffic between persons, telecommunication, transport and
financial networks are some examples. Often these networks are large and multivariate …

The number of microblog posts published daily has reached a level that hampers the
effective retrieval of relevant messages, and the amount of information conveyed through …

Social networks collected by historians or sociologists typically have a large number of
actors and edge attributes. Applying social network analysis (SNA) algorithms to these …