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 …

How do various topics compete for public attention when they are spreading on social
media? What roles do opinion leaders play in the rise and fall of competitiveness of various …

In this paper, we discuss the extension and integration of the statistical concept of Kernel
Density Estimation (KDE) in a scatterplot-like visualization for dynamic data at interactive …

Illustrative parallel coordinates (IPC) is a suite of artistic rendering techniques for
augmenting and improving parallel coordinate (PC) visualizations. IPC techniques can be …

In many application fields, data analysts have to deal with datasets that contain many
expressions per item. The effective analysis of such multivariate datasets is dependent on …

Parallel coordinate plots (PCPs) are commonly used in information visualization to provide
insight into multi-variate data. These plots help to spot correlations between variables. PCPs …

We introduce a method (Scagnostic time series) and an application (TimeSeer) for
organizing multivariate time series and for guiding interactive exploration through high …

We present a new algorithm to explore and visualize multivariate time-varying data sets. We
identify important trend relationships among the variables based on how the values of the …

We present a natural extension of two‐dimensional parallel‐coordinates plots for revealing
relationships in time‐dependent multi‐attribute data by building on the idea that time can be …

We present two visualization techniques for curve-centric volume reformation with the aim to
create compelling comparative visualizations. A curve-centric volume reformation deforms a …