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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2438207135

Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

About this item

Full title

Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

Publisher

United States: Public Library of Science

Journal title

PloS one, 2020-08, Vol.15 (8), p.e0228520

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

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...

Alternative Titles

Full title

Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2438207135

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2438207135

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0228520

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