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Informationsutvinning (data mining)
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When you picture human-data interactions (HDI), what comes to mind? The datafication of modern life, along with open data initiatives advocating for transparency and access to …
This book focusses on techniques for automating the procedure of creating external labelings, also known as callout labelings. In this labeling type, the features within an …
The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised …
There is ample evidence in the visualization community that individual differences matter. These prior works highlight various personality traits and cognitive abilities that can …
At the 2016 IEEE VIS Conference in Baltimore, Maryland, a panel of experts from the Scientific Visualization (SciVis) community gathered to discuss why the SciVis component of the …
Visual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains are struggling to …
Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and …
This book discusses semantic interaction, a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with …
Interest in visualization design has increased in recent years. While there is a large body of existing work from which visualization designers can draw, much of the past research …
Our society has entered a data-driven era, one in which not only are enormous amounts of data being generated daily but there are also growing expectations placed on the analysis …