Design studies are an increasingly popular form of problem-driven visualization research,
yet there is little guidance available about how to do them effectively. In this paper we reflect …

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design
provides a systematic, comprehensive framework for thinking about visualization in terms of …

Physicians are confronted with increasingly complex patient histories based on which they
must make life-critical treatment decisions. At the same time, clinical researchers are eager …

We present a nested model for the visualization design and validation with four layers:
characterize the task and data in the vocabulary of the problem domain, abstract into …

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

Researchers and users of Information Visualization are convinced that it has value. This
value can easily be communicated to others in a face-to-face setting, such that this value is …

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 …

A common challenge faced by many domain experts working with time series data is how to
identify and compare similar patterns. This operation is fundamental in high-level tasks, such …

Data science is a rapidly growing discipline and organizations increasingly depend on data
science work. Yet the ambiguity around data science, what it is, and who data scientists are …

Despite the best efforts of cyber security analysts, networked computing assets are routinely
compromised, resulting in the loss of intellectual property, the disclosure of state secrets …