Cost-sensitive Convolutional Neural Network Based Hybrid Method for Imbalanced Data Classification

Cost-sensitive Convolutional Neural Network Based Hybrid Method for Imbalanced Data Classification

The imbalance classification is a common problem in the field of data mining.In general,the skewed distribution of data makes the classification effect of the classifier unsatisfactory.As an efficient data mining tool,convolutional neural network is widely used in classification tasks.However,if the...

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Bibliographic Details
Main Author:	HUANG Ying-qi, CHEN Hong-mei
Format:	Article
Language:	zho
Published:	Editorial office of Computer Science 2021-09-01
Series:	Jisuanji kexue
Subjects:	imbalance classification\|convolutional neural network\|oversampling\|data preprocessing\|cost-sensitive loss function
Online Access:	http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-77.pdf

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