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Challenges for Visual Analytics

Information Visualization, 2009
Visual analytics has seen unprecedented growth in its first 5 years of mainstream existence. Great progress has been made in a short time, yet significant challenges must be met in the next decade to provide new technologies that will be widely accepted throughout the world.
James J. Thomas, Joe Kielman
openaire   +1 more source

Demystifying Visual Analytics

IEEE Computer Graphics and Applications, 2009
Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. Technologies based on visual analysis are moving from research into widespread use, driven by the increased power of analytical databases and computer graphics hardware.
openaire   +3 more sources

Visual Analytics Education

2006 IEEE Symposium On Visual Analytics Science And Technology, 2006
Visual Analytics is a newly evolving field that spans across several more established disciplines. This panel will discuss how VA system developers and researchers are best educated at the MS and PhD levels. This paper describes several ways in which VA can be characterized ?
Jim Foley 0001   +4 more
openaire   +1 more source

Visual Analytics with Jigsaw

2007 IEEE Symposium on Visual Analytics Science and Technology, 2007
This article briefly introduces the Jigsaw system and describes how we used it in analysis activities for the VAST '07 Contest. Jigsaw is a visual analytic system that provides multiple coordinated views to show connections between entities that are extracted from a collection of documents.
Carsten Görg   +4 more
openaire   +2 more sources

Visual Analytics in the Pharmaceutical Industry

IEEE Computer Graphics and Applications, 2004
In the pharmaceutical industry, information visualization is emerging as a critical component of discovery, development, and business. Among the different classes of visualizations, higher-level summaries are having the greatest impact. These summaries provide a framework for understanding the immense volumes of data and reveal unexpected relationships.
Jeffrey D. Saffer   +3 more
openaire   +4 more sources

Geovisualization and Visual Analytics

Cartographica, 2007
Considering recent events, such as tsunamis, earthquakes, the (predicted) climate changes, as well as rapidly spreading diseases such as SARS and avian influenza, and taking into account the magnitude of economic globalization that has affected world society, it is obvious that understanding and solving problems resulting from those events is not ...
openaire   +2 more sources

A personal perspective on visualization and visual analytics

Proceedings of the 2014 companion publication on Designing interactive systems, 2014
Data surrounds each and every one of us in our daily lives, ranging from logs of exercise and diet, to information about our home energy use, to archives of our interactions with others on social media, to online resources pertaining to our hobbies and interests.
Sheelagh Carpendale   +2 more
openaire   +1 more source

Visual Analytics for Epidemiology

2019
We present visual analytics methods to analyze epidemiologic cohort studies. We consider the automatic identification of strong correlations and of subgroups that deviate from the global mean with respect to their risk for health disorders. Moreover, we tackle missing value problems and discuss appropriate imputation strategies and visual analytics ...
Bernhard Preim   +5 more
openaire   +1 more source

Formalizing Analytical Discourse in Visual Analytics

2007 IEEE Symposium on Visual Analytics Science and Technology, 2007
This paper presents a theory of analytical discourse and a formal model of the intentional structure of visual analytic reasoning process. Our model rests on the theory of collaborative discourse, and allows for cooperative human-machine communication in visual interactive dialogues.
openaire   +1 more source

Graph Signatures for Visual Analytics

IEEE Transactions on Visualization and Computer Graphics, 2006
We present a visual analytics technique to explore graphs using the concept of a data signature. A data signature, in our context, is a multidimensional vector that captures the local topology information surrounding each graph node. Signature vectors extracted from a graph are projected onto a low-dimensional scatterplot through the use of scaling ...
Pak Chung Wong   +4 more
openaire   +3 more sources

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