Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …

Alluvial diagrams use stacked bar plots and variable-width ribbons to represent multi-
dimensional or repeated-measures data comprising categorical or ordinal variables …

The visualization process doesn't happen in a vacuum; it is grounded in principles and
methodologies of design, cognition, perception, and human-computer-interaction that are …

Depictive expressions of thought predate written language by thousands of years. They
have evolved in communities through a kind of informal user testing that has refined them …

Over the last decade, ensemble visualization has witnessed a significant development due
to the wide availability of ensemble data, and the increasing visualization needs from a …

Information Visualization is a relatively young field that is acquiring more and more
concensus in both academic and industrial environments.'Information Visualization'explores …

Sankey diagrams are used to visualise flows of materials and energy in many applications,
to aid understanding of losses and inefficiencies, to map out production processes, and to …

Event sequence data is common in many domains, ranging from electronic medical records
(EMRs) to sports events. Moreover, such sequences often result in measurable outcomes …

Computing and visualizing sets of elements and their relationships is one of the most
common tasks one performs when analyzing and organizing large amounts of data …