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DIVE: A Graph-Based Visual-Analytics Framework for Big Data
Mar.-Apr. 2014 (vol. 34 no. 2)
pp. 26-37
Steven J. Rysavy, University of Washington
Dennis Bromley, University of Washington
Valerie Daggett, University of Washington
The need for data-centric scientific tools is growing; domains such as biology, chemistry, and physics are increasingly adopting computational approaches. So, scientists must deal with the challenges of big data. To address these challenges, researchers built a visual-analytics platform named DIVE (Data Intensive Visualization Engine). DIVE is a data-agnostic, ontologically expressive software framework that can stream large datasets at interactive speeds. In particular, DIVE makes novel contributions to structured-data-model manipulation and high-throughput streaming of large, structured datasets.
Index Terms:
Big data,Ontologies,Data visualization,Interoperability,Visual analytics,Data Intensive Visualization Engine,big data,bioinformatics,molecular dynamics,ontology,visual analytics,computer graphics,Dynameomics,DIVE
Steven J. Rysavy, Dennis Bromley, Valerie Daggett, "DIVE: A Graph-Based Visual-Analytics Framework for Big Data," IEEE Computer Graphics and Applications, vol. 34, no. 2, pp. 26-37, Mar.-Apr. 2014, doi:10.1109/MCG.2014.27
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