An investigation of fuzzy methods and meta learning for feature selection

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An investigation of fuzzy methods and meta learning for feature selection

Recent developments in technology have led to accelerated growth of data, and the associated challenges of extracting information from them. Recently, the knowledge discovery process has become a central issue in extracting knowledge from data. Within this, feature selection (FS) acts as a preproces...

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Bibliographic Details
Main Author:	Shen, Zixiao
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2022
Subjects:	Feature selection FS Fuzzy methods Meta learning
Online Access:	https://eprints.nottingham.ac.uk/69332/

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