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• W2022832225 abstract "This paper presents a new interactive scatter plot visualization for multi-dimensional data analysis. We apply 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 have conducted a case study to demonstrate the effectiveness and usefulness of our new technique for identifying the impact sources of wine quality through the visual analytics of a wine dataset consisting of 12 attributes with 4898 samples." @default.
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• W2022832225 date "2012-12-01" @default.
• W2022832225 modified "2023-09-27" @default.
• W2022832225 title "An Interactive Scatter Plot Metrics Visualization for Decision Trend Analysis" @default.
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• W2022832225 doi "https://doi.org/10.1109/icmla.2012.164" @default.
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