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Rysavy SJ, Bromley D, Daggett V. DIVE: a graph-based visual-analytics framework for big data. IEEE Comput Graph Appl. 2014;34(2):26-37doi: 10.1109/MCG.2014.27.
Rysavy, S. J., Bromley, D., & Daggett, V. (2014). DIVE: a graph-based visual-analytics framework for big data. IEEE computer graphics and applications, 34(2), 26-37. https://doi.org/10.1109/MCG.2014.27
Rysavy, Steven J, et al. "DIVE: a graph-based visual-analytics framework for big data." IEEE computer graphics and applications vol. 34,2 (2014): 26-37. doi: https://doi.org/10.1109/MCG.2014.27
Rysavy SJ, Bromley D, Daggett V. DIVE: a graph-based visual-analytics framework for big data. IEEE Comput Graph Appl. 2014 Mar-Apr;34(2):26-37. doi: 10.1109/MCG.2014.27. PMID: 24808197; PMCID: PMC4103159.
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IEEE Comput Graph Appl. 2014 Mar-Apr;34(2):26-37. doi: 10.1109/MCG.2014.27.

DIVE: a graph-based visual-analytics framework for big data.

IEEE computer graphics and applications

Steven J Rysavy, Dennis Bromley, Valerie Daggett

PMID: 24808197 PMCID: PMC4103159 DOI: 10.1109/MCG.2014.27

Abstract

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.

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