| Literature DB >> 24808197 |
Steven J Rysavy, Dennis Bromley, Valerie Daggett.
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.Entities:
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Year: 2014 PMID： 24808197 PMCID： PMC4103159 DOI： 10.1109/MCG.2014.27
Source DB: PubMed Journal: IEEE Comput Graph Appl ISSN： 0272-1716 Impact factor: 2.088