Visualizations themselves have become a data format. Akin to other data formats such as
text and images, visualizations are increasingly created, stored, shared, and (re-) used with …

Visual analytics systems combine machine learning or other analytic techniques with
interactive data visualization to promote sensemaking and analytical reasoning. It is through …

When an organization chooses one course of action over alternatives, this task typically falls
on a decision maker with relevant knowledge, experience, and understanding of context …

It remains challenging for information visualization novices to rapidly construct visualizations
during exploratory data analysis. We conducted an exploratory laboratory study in which …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

Data visualization is an efficient and effective medium for communicating large amounts of
information, but the design process can often seem like an unexplainable creative endeavor …

An emerging generation of visualization authoring systems support expressive information
visualization without textual programming. As they vary in their visualization models, system …

In recent years we have seen information visualization technology move from an advanced
research topic to mainstream adoption in both commercial and personal use. This move is in …

Evaluation has become a fundamental part of visualization research and researchers have
employed many approaches from the field of human-computer interaction like measures of …

Abstract Information visualization is traditionally viewed as a tool for data exploration and
hypothesis formation. Because of its roots in scientific reasoning, visualization has …