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 …

In this paper, we present a systematization of techniques that use quality metrics to help in
the visual exploration of meaningful patterns in high-dimensional data. In a number of recent …

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

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

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 …

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 …

Visualization of user actions can be used in Technology Enhanced Learning to increase
awareness for learners and teachers and to support self-reflection. In this paper, we present …

Predictive modeling techniques are increasingly being used by data scientists to understand
the probability of predicted outcomes. However, for data that is high-dimensional, a critical …

Visual clutter denotes a disordered collection of graphical entities in information
visualization. Clutter can obscure the structure present in the data. Even in a small dataset …

Interactive exploration of multidimensional data sets is challenging because:(1) it is difficult
to comprehend patterns in more than three dimensions, and (2) current systems often are a …