While many VA workflows make use of machine-learned models to support analytical tasks,
VA workflows have become increasingly important in understanding and improving Machine …

In this paper, we examine whether or not information theory can be one of the theoretic
frameworks for visualization. We formulate concepts and measurements for qualifying visual …

The field of visualization is maturing. Many problems have been solved and new directions
are sought. In order to make good choices, an understanding of the purpose and meaning of …

Visualization exploration is the process of extracting insight from data via interaction with
visual depictions of that data. Visualization exploration is more than presentation; the …

Although many valuable visualizations have been developed to gain insights from large
data sets, selecting an appropriate visualization for a specific data set and goal remains …

Designing, evaluating, and improving visual analytics (VA) systems is a primary area of
activities in our discipline. In this paper, we present an ontological framework for recording …

In this paper, we propose a novel approach for automatic generation of visualizations from
domain‐specific data available on the web. We describe a general system pipeline that …

In today's digital age, the proliferation of data and advanced technologies are transforming
the way organisations manage, integrate and deploy their knowledge and competences …

One of the critical issues challenging human decision makers in the information age is how
to find out data relevant to their tasks and how to derive meaningful information from these …

Abstract 3D visualization is being widely used in GIS (geographic information system) and
CAD (computer-aided design) applications. It has also been introduced in cadastre studies …