Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets
Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Health advances are contingent on continuous development of new methods and approaches to foster data-driven discovery in the biomedical and clinical sciences. Open-science and team-based scientific discovery offer hope for tackling some of the difficult challenges associated with managing, modeling, and interpreting of large, complex, and multisou...
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Full title
Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets
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TN_cdi_plos_journals_2438207135
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2438207135
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0228520