Optimised Framework based on Rough Set Theory for Big Data Pre-processing in Certain and Imprecise Contexts - RoSTBiDFramework

Zarges, Christine (Project Lead)

Department of Computer Science

University of Birmingham

Project: Externally funded research

2 Conference Proceeding (ISBN)
2 Article
1 Chapter
1 Paper

2 results

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2021
A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique
Chelly Dagdia, Z. & Zarges, C., 30 Sept 2021, In: Fundamenta Informaticae. 182, 2, p. 111-179 69 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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254 Downloads (Pure)
2020
A Scalable and Effective Rough Set Theory based Approach for Big Data Pre-processing
Chelly Dagdia, Z., Zarges, C., Beck, G. & Lebbah, M., 01 Aug 2020, In: Knowledge and Information Systems. 62, 8, p. 3321-3386 66 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
21 Citations (Scopus)

191 Downloads (Pure)