Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data

Grouped SMOTE With Noise Filtering Mechanism for Classifying Imbalanced Data

SMOTE (Synthetic Minority Oversampling TEchnique) is one of the most popular and well-known sampling algorithms for addressing class imbalance learning problem. The merits of SMOTE reflect at that in comparison with the random oversampling technique, it can alleviate the problem of overfitting to a...

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Bibliografski detalji
Glavni autori: Ke Cheng, Chen Zhang, Hualong Yu, Xibei Yang, Haitao Zou, Shang Gao
Format: Članak
Jezik:English
Izdano: IEEE 2019-01-01
Serija:IEEE Access
Teme:
Sampling
class imbalance learning
SMOTE
Gaussian-Mixture model
probability density
Online pristup:https://ieeexplore.ieee.org/document/8910617/

Internet

https://ieeexplore.ieee.org/document/8910617/

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