In this paper, we present a systematization of techniques that use quality metrics to help in
the visual exploration of meaningful patterns in high-dimensional data. In a number of recent …

High-quality visualization collections are beneficial for a variety of applications including
visualization reference and data-driven visualization design. The visualization community …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

The computer graphics and computer vision communities have been working closely
together in recent years, and a variety of algorithms and applications have been developed …

Evaluating the effectiveness of data visualizations is a challenging undertaking and often
relies on one-off studies that test a visualization in the context of one specific task …

This article reviews the literature in the search for the theories and perspectives of
knowledge discovery and data visualization. The literature review highlights the overview of …

This book explores Information theory (IT) tools, which have become state of the art to solve
and understand better many of the problems in visualization. This book covers all relevant …

Authors often transform a large screen visualization for smaller displays through rescaling,
aggregation and other techniques when creating visualizations for both desktop and mobile …

Whenever a visualization researcher is asked about the purpose of visualization, the phrase
“gaining insight” by and large pops out instinctively. However, it is not absolutely factual that …

Many visual analytics have been developed for examining scientific publications comprising
wealthy data such as authors and citations. The studies provide unprecedented insights on …