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

We present an assessment of the state and historic development of evaluation practices as
reported in papers published at the IEEE Visualization conference. Our goal is to reflect on a …

Natural language descriptions sometimes accompany visualizations to better communicate
and contextualize their insights, and to improve their accessibility for readers with …

Recently, an increasing number of visualization systems have begun to incorporate natural
language generation (NLG) capabilities into their interfaces. NLG-based visualization …

Designers often create visualizations to achieve specific high-level analytical or
communication goals. These goals require people to naturally extract complex …

Today, in many spheres of human activity, massive amounts of data are collected and
stored. As the volumes of data available to lawmakers, civil servants, business people and …

Visual analytics enables us to analyze huge information spaces in order to support complex
decision making and data exploration. Humans play a central role in generating knowledge …

We are living in a world which faces a rapidly increasing amount of data to be dealt with on a
daily basis. In the last decade, the steady improvement of data storage devices and means …

While the primary goal of visual analytics research is to improve the quality of insights and
findings, a substantial amount of research in provenance has focused on the history of …

Visualizations have a potentially enormous influence on how data are used to make
decisions across all areas of human endeavor. However, it is not clear how this power …