This paper provides a multi-disciplinary overview of the research issues and achievements
in the field of Big Data and its visualization techniques and tools. The main aim is to …

Environmental science is an applied discipline, which therefore requires interacting with
actors outside of the scientific community. Visualisations are increasingly seen as powerful …

Time is an exceptional dimension with high relevance in medicine, engineering, business,
science, biography, history, planning, or project management. Understanding time-oriented …

We introduce time curves as a general approach for visualizing patterns of evolution in
temporal data. Examples of such patterns include slow and regular progressions, large …

The analysis of time-oriented data is an important task in many application scenarios. In
recent years, a variety of techniques for visualizing such data have been published. This …

Effective presentation of data for decision support is a major issue when large volumes of
data are generated as happens in the Intensive Care Unit (ICU). Although the most common …

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 …

We propose incremental logarithmic time-series technique as a way to deal with time-based
representations of large and dynamic event data sets in limited space. Modern data …

Abstract Contemporary Neonatal Intensive Care Units collect vast amounts of patient data in
various formats, making efficient processing of information by medical professionals difficult …

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 …