Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …

This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

Data analysis often involves the comparison of complex objects. With the ever increasing
amounts and complexity of data, the demand for systems to help with these comparisons is …

Visualization is the process of representing data, information, and knowledge in a visual
form to support the tasks of exploration, confirmation, presentation, and understanding. This …

Data analysts must make sense of increasingly large data sets, sometimes with billions or
more records. We present methods for interactive visualization of big data, following the …

Information visualisation is about gaining insight into data through a visual representation.
This data is often multivariate and increasingly, the datasets are very large. To help us …

Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

Visual analytics plays a key role in the era of connected industry (or industry 4.0, industrial
internet) as modern machines and assembly lines generate large amounts of data and …

Users with anomalous behaviors in online communication systems (eg email and social
medial platforms) are potential threats to society. Automated anomaly detection based on …