Domain Analysis for Data Visualization (DADV) is a technique to use when investigating a domain where data visualizations are going to be designed and added to existing software s...
Octavio Juarez Espinosa, Chris Hendrickson, James ...
Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, Davi...
The understanding of human physical and physiological signals and expressions, together with a growing processing and control capacity allows for new approaches in interactive sys...
Information visualization encounters a wide variety of different data domains. The visualization community has developed representation methods and interactive techniques. As a co...
Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analy...
Wolfgang Aigner, Alessio Bertone, Silvia Miksch, C...