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Enabling decision trend analysis with interactive scatter plot matrices visualization
journal contribution
posted on 2023-05-18, 15:23 authored by Wang, WB, Huang, ML, Nguyen, QV, Huang, W, Zhang, K, Huang, T-HThis 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.
History
Publication title
Journal of Visual Languages and ComputingVolume
33Pagination
13-23ISSN
1045-926XDepartment/School
School of Information and Communication TechnologyPublisher
Academic PressPlace of publication
United KingdomRights statement
Copyright 2015 Elsevier Ltd.Repository Status
- Restricted