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The Top 10 Challenges · 1. In Situ Analysis · 2. Interaction and User Interfaces · 3. Large-Data Visualization · 4. Databases and Storage · 5. Algorithms · 6.
His research interests include extreme-scale data analytics, visual analytics, social networks, and national security. He's on the editorial boards of IEEE ...
Aug 10, 2012 · Extreme-scale visual analytics (VA) is about applying VA to extreme-scale data. The articles in this special issue examine advances related ...
The Top 10 Challenges in Extreme-Scale Visual Analytics | Datahub
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Publication - Journal Article The Top 10 Challenges in Extreme-Scale Visual Analytics. DOI. https://doi.org/10.1109/mcg.2012.87. Journal Article.
Mar 4, 2014 · In situ interactive analysis. 2. User-Driven Data Reduction. 3. Scalability and Multi-Level Hierarchy. 4. Representation of Evidence and ...
The discussion focuses on applying visual analytics technologies to extreme-scale scientific and non-scientific data ranging from petabyte to exabyte in sizes.
In this paper, we provide an overview of three applications of visual analytics for addressing the challenges of analyzing climate, text streams, and ...
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In this paper, we introduce a Web-based visual analytics framework for democratizing advanced visualization and analysis capabilities pertinent to ...
Abstract · 1. In Situ Interactive Analysis · 2. User-Driven Data Reduction · 3. Scalability and Multilevel Hierarchy · 4. Representing Evidence and Uncertainty.
A team of scientists and researchers discusses the top 10 challenges in extreme-scale visual analytics (VA). The discussion covers applying VA technologies ...