Water treatment works have previously shown high efficiency in removing microplastics> 25
µm from raw source water. However, what is less well known is the extent to which …

We provide two contributions, a taxonomy of visual cluster separation factors in scatterplots,
and an in‐depth qualitative evaluation of two recently proposed and validated separation …

Feature selection algorithms are frequently employed in preprocessing machine learning
pipelines applied to biological data to identify relevant features. The use of feature selection …

In big data analytics, advanced analytic techniques operate on big datasets aimed at
complementing the role of traditional OLAP for decision making. To enable companies to …

As many-objective optimization algorithms mature, the problem owner is faced with
visualizing and understanding a set of mutually nondominating solutions in a high …

Viscosity and melting temperature are indispensable properties for mold flux design and
evaluation, significant investment is required for measurement. In this paper, viscosity and …

Massive Open Online Courses (MOOCs) have shown rapid development in recent years,
allowing learners to access high-quality digital material. Because of facilitated learning and …

RadViz and star coordinates are two of the most popular projection-based multivariate
visualization techniques that arrange variables in radial layouts. Formally, the main …

An accurate prediction of the future condition of structural components is essential for
planning the maintenance, repair, and rehabilitation of bridges. As such, this paper presents …

Visualization can largely improve biomedical data analysis. It plays a crucial role in
explorative data analysis and may support various data mining tasks. The paper presents …