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Enabling decision trend analysis with interactive scatter plot matrices visualization
Citation
Wang, WB and Huang, ML and Nguyen, QV and Huang, W and Zhang, K and Huang, T-H, Enabling decision trend analysis with interactive scatter plot matrices visualization, Journal of Visual Languages and Computing, 33 pp. 13-23. ISSN 1045-926X (2016) [Refereed Article]
Copyright Statement
Copyright 2015 Elsevier Ltd.
DOI: doi:10.1016/j.jvlc.2015.11.002
Abstract
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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | visualization, visual analytics |
| Research Division: | Information and Computing Sciences |
| Research Group: | Information Systems |
| Research Field: | Computer-Human Interaction |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding Knowledge |
| Objective Field: | Expanding Knowledge in the Information and Computing Sciences |
| UTAS Author: | Huang, W (Dr Tony Huang) |
| ID Code: | 105463 |
| Year Published: | 2016 |
| Web of Science® Times Cited: | 1 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2016-01-05 |
| Last Modified: | 2018-03-20 |
| Downloads: | 0 |
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