Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …

The ability to identify and present the most essential aspects of time-varying data is critically
important in many areas of science and engineering. This paper introduces an importance …

Graphics artists commonly employ physically-based simulation for the generation of effects
such as smoke, explosions, and similar phenomena. The task of finding the correct …

Facetto is a scalable visual analytics application that is used to discover single-cell
phenotypes in high-dimensional multi-channel microscopy images of human tumors and …

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 …

Medicine is among those research fields with a significant impact on humans and their
health. Already for decades, medicine has established a tight coupling with the visualization …

Time-varying data is usually explored by animation or arrays of static images. Neither is
particularly effective for classifying data by different temporal activities. Important temporal …

A fundamental challenge for time-varying volume data analysis and visualization is the lack
of capability to observe and track data change or evolution in an occlusion-free, controllable …

Prioritization of data is necessary for managing large-scale scientific data, as the scale of the
data implies that there are only enough resources available to process a limited subset of …

Ensemble sensitivity analysis (ESA) has been established in the atmospheric sciences as a
correlation-based approach to determine the sensitivity of a scalar forecast quantity …