We present a systematic literature review of the emerging field of visual learning analytics.
We review existing work in this field from two perspectives: First, we analyze existing …

With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design
provides a systematic, comprehensive framework for thinking about visualization in terms of …

This paper presents DXR, a toolkit for building immersive data visualizations based on the
Unity development platform. Over the past years, immersive data visualizations in …

Unit visualizations have been widely used in data storytelling within interactive articles and
videos. However, authoring data stories that contain animated unit visualizations is …

Labeling data instances is an important task in machine learning and visual analytics. Both
fields provide a broad set of labeling strategies, whereby machine learning (and in particular …

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 …

Association rule mining is intended for searching for the relationships between attributes in
transaction databases. The whole process of rule discovery is very complex, and involves …

Creating whimsical, personal data visualizations remains a challenge due to a lack of tools
that enable for creative visual expression while providing support to bind graphical content …

Event sequence mining is often used to summarize patterns from hundreds of sequences
but faces special challenges when handling racket sports data. In racket sports (eg, tennis …