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)...

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Vydané v:	IEEE access Ročník 7; s. 23537 - 23548
Hlavní autori:	Yan, Yuanting, Liu, Ruiqing, Ding, Zihan, Du, Xiuquan, Chen, Jie, Zhang, Yanping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Biological neural networks Cancer Classification Cleaning Complexity Complexity theory constructive covering algorithm data cleaning Datasets Imbalanced data Medical diagnosis Neurons Oversampling Parameters Shape SMOTE
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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