A scalable and effective rough set theory-based approach for big data pre-processing

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 0219-3116

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A scalable and effective rough set theory-based approach for big data pre-processing ; volume:62 ; number:8 ; day:2 ; month:5 ; year:2020 ; pages:3321-3386 ; date:8.2020
Knowledge and information systems ; 62, Heft 8 (2.5.2020), 3321-3386, 8.2020

Creator: Chelly Dagdia, Zaineb
Zarges, Christine
Beck, Gaël
Lebbah, Mustapha

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10115-020-01467-y

URN: urn:nbn:de:101:1-2020082419502518756682

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:50 AM CEST

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Chelly Dagdia, Zaineb
Zarges, Christine
Beck, Gaël
Lebbah, Mustapha
SpringerLink (Online service)

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A scalable and effective rough set theory-based approach for big data pre-processing

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