DocumentCode
1818012
Title
Progressive parallel coordinates
Author
Rosenbaum, René ; Zhi, Jian ; Hamann, Bernd
Author_Institution
Dept. of Comput. Sci., Univ. of California, Davis, CA, USA
fYear
2012
fDate
Feb. 28 2012-March 2 2012
Firstpage
25
Lastpage
32
Abstract
Progressive refinement is a methodology that makes it possible to elegantly integrate scalable data compression, access, and presentation into one approach. Specifically, this paper concerns the effective use of progressive parallel coordinates (PPCs), utilized routinely for high-dimensional data visualization. It discusses how the power of the typical stages of progressive data visualization can also be utilized fully for PPCs. Further, different implementations of the underlying methods and potential application domains are described. The paper also presents empirical results concerning the benefits of PPC with regard to efficient data management and improved presentation, indicating that the proposed approach is able to close the gap between data handling and visualization.
Keywords
data handling; data visualisation; data access; data compression; data handling; data management; data presentation; high-dimensional data visualization; progressive parallel coordinate; progressive refinement; Lead; Logic gates; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization Symposium (PacificVis), 2012 IEEE Pacific
Conference_Location
Songdo
ISSN
2165-8765
Print_ISBN
978-1-4673-0863-2
Electronic_ISBN
2165-8765
Type
conf
DOI
10.1109/PacificVis.2012.6183570
Filename
6183570
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