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ImMens: Real-time Visual Querying of Big Data

ImMens: Real-time Visual Querying of Big Data 2025

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The document presents the imMens system, a browser-based visual analysis tool designed for real-time querying and visualization of big data sets, which can contain billions of records. It addresses the challenges of perceptual and interactive scalability by employing data reduction methods like binned aggregation and multivariate data tiles. The system leverages WebGL for GPU-accelerated processing, enabling smooth interactions such as brushing and linking across multiple visualizations at high frame rates. The authors demonstrate that imMens maintains performance regardless of data size, making it a significant advancement in the field of big data visualization.

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