Abstract
In this paper we tackle the main problem presented by the majority of Information Visualization techniques, that is, the limited number of data items that can be visualized simultaneously. Our approach proposes an innovative and interactive systematization that can augment the potential for data presentation by utilizing multiple views. These multiple presentation views are kept linked according to the analytical decisions took by the user and are tracked in a tree-like structure. Our emphasis is on developing an intuitive yet powerful system that helps the user to browse the information and to make decisions based both on overview and on detailed perspectives of the data under analysis. The visualization tree keeps track of the interactive actions taken by the user without losing context.
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Rodrigues, J.F., Traina, A.J.M., Traina, C. (2005). Visualization Tree, Multiple Linked Analytical Decisions. In: Butz, A., Fisher, B., Krüger, A., Olivier, P. (eds) Smart Graphics. SG 2005. Lecture Notes in Computer Science, vol 3638. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536482_6
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DOI: https://doi.org/10.1007/11536482_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28179-5
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