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Evolutionary design of a visual analytics interface to study predictive patterns in high dimensional data
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DOI：10.1016/j.visinf.2025.100303.png)
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Abstract
En 中文
• A comparative analysis of three visual interface designs for pattern exploration in high-dimensional data. • Design insights on how visualization techniques influence pattern interpretability and user trust. • A production-ready interface demonstrated through a real-world case study. • Design guidance for building effective pattern exploration tools that bridge machine learning and human sensemaking.
Keywords:
High-dimensional data
Multivariate data
Pattern analysis
Data mining
Visual analytics
Predictive analytics
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