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 …

The cause of psoriasis, a common chronic inflammatory skin disease, is not fully understood.
Microarray experiments have been widely used in recent years to identify genes associated …

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

The analysis of large amounts of multidimensional road traffic data for anomaly detection is
a complex task. Visual analytics can bridge the gap between computational and human …

Fuzzy clustering assigns a probability of membership for a datum to a cluster, which veritably
reflects real-world clustering scenarios but significantly increases the complexity of …

There would be value to several domains in discovering and visualizing sentiments in online
posts. This paper presents SentiView, an interactive visualization system that aims to …

Cancer cells are highly heterogeneous at the transcriptional level and epigenetic state.
Methods to study epigenetic heterogeneity are limited in throughput and information …

Advances in instrumentation now allow the development of screening assays that are
capable of monitoring multiple readouts such as transcript or protein levels, or even multiple …

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