eCite Digital Repository

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
Author:Huang, W (Dr Tony Huang)
ID Code:105463
Year Published:2016
Deposited By:Computing and Information Systems
Deposited On:2016-01-05
Last Modified:2017-09-13
Downloads:0

Repository Staff Only: item control page