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Titlebook: Information Visualization; Human-Centered Issue Andreas Kerren,John T. Stasko,Chris North Book 2008 Springer-Verlag Berlin Heidelberg 2008

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https://doi.org/10.1007/978-3-540-70956-5Interaction; collaboration; information visualization; reflection; visual analytics; visualization
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0302-9743 Visual Representation, Interaction, and Evaluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007...Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data. ..This book doc
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Book 2008aluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007...Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data. ..This book documents and extends the findings and discuss
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Evaluating Information Visualizationseneral, of its relationship to information visualization in particular; to emphasize its importance; and to encourage thoughtful application of a greater variety of evaluative research methodologies in information visualization.
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Theoretical Foundations of Information Visualizationl foundations of Information Visualization are presented here: data-centric predictive theory, information theory, and scientific modeling. Definitions from linguistic theory are used to provide an over-arching framework for these three approaches.
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Visual Analytics: Definition, Process, and Challenges generate vast amounts of data. Making matters worse, the possibilities to collect and store data increase at a faster rate than our ability to use it for making decisions. However, in most applications, raw data has no value in itself; instead we want to extract the information contained in it.
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Creation and Collaboration: Engaging New Audiences for Information Visualizations – has important implications for visualization research, design and development. Since we cannot expect each of these lay users to design their own visualizations, we have to provide them tools that make it easy to create and deploy visualizations of their datasets.
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Process and Pitfalls in Writing Information Visualization Research Papersl problems localized to specific sections, and unconvincing ways to present the results. Final-stage pitfalls of writing style can be checked after a full paper draft exists, and the last set of problems pertain to submission.
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