Event sequence analysis is an important task in many domains: medical researchers may
study the patterns of transfers within the hospital for quality control; transportation experts …

Providing appropriate methods to facilitate the analysis of time-oriented data is a key issue
in many application domains. In this paper, we focus on the unique role of the parameter …

Analyzing observations over time and geography is a common task, but typically requires
multiple, separate tools. The objective of our research has been to develop a method to …

Electronic Health Records (EHRs) and other temporal databases contain hidden patterns
that reveal important cause-and-effect phenomena. Finding these patterns is a challenge …

Recent research has confirmed the impact of the use of electronic media on student
performance. In an earlier article the impact of accessing reading and posting on a forum …

The visual analysis of time dependent data is an essential task in many application fields.
However, visualizing large time dependent data collected within a spatial context is still a …

Climate science produces a wealth of complex, high-dimensional, multivariate data from
observations and numerical models. These data are critical for understanding climate …

In this paper we address the problem of classifying cited work into important and non-
important to the developments presented in a research publication. This task is vital for the …

Spiral displays have been developed to visualize the cyclic character of a data set. They are
particularly useful for spotting seasonal patterns in time series data. This, however, requires …

This tutorial book features an augmented selection of the material presented at the GI-
Dagstuhl Research Seminar on Human-Centered Visualization Environments, HCVE 2006 …