Multi-Objective Hybrid Algorithm For
The Classification Of Imbalanced
Datasets

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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets

Classification of imbalanced datasets remained a significant issue in data mining and machine learning (ML) fields. This research work proposed a new idea based on the optimization for handling the imbalanced datasets. A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization....

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Bibliographic Details
Main Author:	Saeed, Sana
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA1-939 Mathematics
Online Access:	http://eprints.usm.my/48598/ http://eprints.usm.my/48598/1/Sana%20Saeed%20thesis%20Ph.D%20cut.pdf

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