A Scalable and Effective Rough Set Theory based Approach for Big Data Pre-processing

Zaineb Chelly Dagdia
, Christine Zarges
, Gael Beck
, Mustapha Lebbah

Department of Computer Science

Inria Nancy - Grand Est
Institut Supérieur de Gestion de Tunis
Université Sorbonne Paris Nord

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

244 Downloads (Pure)

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Optimised Framework based on Rough Set Theory for Big Data Pre-processing in Certain and Imprecise Contexts - RoSTBiDFramework
Zarges, C. (Project Lead)
Horizon Discovery (United Kingdom)
01 Mar 2017 → 28 Feb 2019
Project: Externally funded research