Combining Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) and Hybrid Sampling in Handling Multi-Class Imbalance and Overlapping

Combining Hybrid Approach Redefinition-Multiclass Imbalance (HAR-MI) and Hybrid Sampling in Handling Multi-Class Imbalance and Overlapping

The class imbalance problem in the multi-class dataset is more challenging to manage than the problem in the two classes and this problem is more complicated if accompanied by overlapping. One method that has proven reliable in dealing with this problem is the Hybrid Approach Redefinition-Multiclass...

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Bibliographic Details
Main Authors:	Hartono Hartono, Erianto Ongko
Format:	Article
Language:	English
Published:	Politeknik Negeri Padang 2021-03-01
Series:	JOIV: International Journal on Informatics Visualization
Subjects:	class imbalance multi-class dataset multi-class imbalance hybrid approach har-mi.
Online Access:	https://joiv.org/index.php/joiv/article/view/420

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