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Enabling decision trend analysis with interactive scatter plot matrices visualization
journal contributionposted on 2023-05-18, 15:23 authored by Wang, WB, Huang, ML, Nguyen, QV, Huang, W, Zhang, K, Huang, T-H
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.
Publication titleJournal of Visual Languages and Computing
Department/SchoolSchool of Information and Communication Technology
Place of publicationUnited Kingdom
Rights statementCopyright 2015 Elsevier Ltd.