FORF-S: A Novel Classification Technique for Class Imbalance Problem

In recent years, the class imbalance problem that aims to correctly classify imbalanced data sets and improve the classification performance of minority instances has received attention. Such problem can be roughly described as one of the class(es) termed as minority class(es) contains much smaller...

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Bibliographic Details
Main Authors: Yulin Jian, Mao Ye, Yan Min, Liang Tian, Guangjun Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9272759/