Data science is a rapidly growing discipline and organizations increasingly depend on data
science work. Yet the ambiguity around data science, what it is, and who data scientists are …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Visual analytics usually deals with complex data and uses sophisticated algorithmic, visual,
and interactive techniques supporting the analysis. Findings and results of the analysis often …

To complement the currently existing definitions and conceptual frameworks of visual
analytics, which focus mainly on activities performed by analysts and types of techniques …

Analyzing usability test videos is arduous. Although recent research showed the promise of
AI in assisting with such tasks, it remains largely unknown how AI should be designed to …

In this paper, we list the goals for and the pros and cons of guidance, and we discuss the
role that it can play not only in key low-level visualization tasks but also the more …

For decades, researchers in information visualisation and graph drawing have focused on
develo** techniques for the layout and display of very large and complex networks …

In this paper, we propose a technique for automatically annotating visualizations according
to the textual description. In our approach, visual elements in the target visualization, along …

Many of the problems being addressed by Immersive Analytics require groups of people to
solve. This chapter introduces the concept of Collaborative Immersive Analytics (CIA) and …

During exploratory visual analysis (EVA), analysts need to continually determine which
subsequent activities to perform, such as which data variables to explore or how to present …