Ensemble Classification Algorithm for Imbalanced Data Combined with Local Area Density

Ensemble Classification Algorithm for Imbalanced Data Combined with Local Area Density

Oversampling method is one of the effective ways to deal with imbalance classification problems. This paper focuses on the problems of reducing sampling result faced by the oversampling methods based on SMOTE(synthetic minority oversampling technique) in the occurrence of class-overlapping and small...

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Bibliographic Details
Main Author: YANG Hao, CHEN Hongmei
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-02-01
Series:Jisuanji kexue yu tansuo
Subjects:
imbalanced data
strategy for calculating nearest neighbors
ensemble learning
oversampling
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2117.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2117.shtml

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