A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification

A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification

Oversampling is an efficient technique in dealing with class-imbalance problem. It addresses the problem by reduplicating or generating the minority class samples to balance the distribution between the samples of the majority and the minority class. Synthetic minority oversampling technique (SMOTE)...

Full description

Bibliographic Details
Main Authors: Yuanting Yan, Ruiqing Liu, Zihan Ding, Xiuquan Du, Jie Chen, Yanping Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Imbalanced data
SMOTE
oversampling
constructive covering algorithm
data cleaning
Online Access:https://ieeexplore.ieee.org/document/8642396/

Internet

https://ieeexplore.ieee.org/document/8642396/

Similar Items