In the last two decades, interactive visualization and analysis have become a central tool in
data-driven decision making. Concurrently to the contributions in data visualization …

Data visualization and analytics are nowadays one of the corner-stones of Data Science,
turning the abundance of Big Data being produced through modern systems into actionable …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

Mosaic is an architecture for greater scalability, extensibility, and interoperability of
interactive data views. Mosaic decouples data processing from specification logic: clients …

Multiscale visualizations are typically used to analyze multiscale processes and data in
various application domains, such as the visual exploration of hierarchical genome …

Given a scatterplot with tens of thousands of points or even more, a natural question is which
sampling method should be used to create a small but “good” scatterplot for a better …

In this paper, we present a new benchmark to validate the suitability of database systems for
interactive visualization workloads. While there exist proposals for evaluating database …

The real world exhibits rich structure and detail across many scales of observation. It is
difficult, however, to capture and represent a broad spectrum of scales using ordinary …

In in situ data management scenarios, large data files, which do not fit in main memory, must
be efficiently handled using commodity hardware, without the overhead of a preprocessing …

Static scatterplots often suffer from the overdraw problem on big datasets where object
overlap causes undesirable visual clutter. The use of zooming in scatterplots can help …