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research
Enabling decision trend analysis with interactive scatter plot matrices visualization
Authors
ML Huang
TH Huang
+4 more
W Huang
QV Nguyen
WB Wang
K Zhang
Publication date
1 January 2016
Publisher
'Elsevier BV'
Doi
Cite
Abstract
© 2015 Elsevier Ltd. This paper presents a new interactive scatter plot visualization for multi-dimensional data analysis. We apply Rough Set Theory (RST) to reduce the visual complexity through dimensionality reduction. We use an innovative point-to-region mouse click concept to enable direct interactions with scatter points that are theoretically impossible. To show the decision trend we use a virtual Z dimension to display a set of linear flows showing approximation of the decision trend. We conducted case studies to demonstrate the effectiveness and usefulness of our new technique for analyzing the property of three popular data sets including wine quality, wages and cars. The paper also includes a pilot usability study to evaluate parallel coordinate visualization with scatter plot matrices visualization with RST results
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OPUS - University of Technology Sydney
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oai:opus.lib.uts.edu.au:10453/...
Last time updated on 13/02/2017
Western Sydney ResearchDirect
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Last time updated on 30/11/2020