Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification

标题
Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification
作者
关键词
Feature selection, Support Vector Data Description, Cost-sensitive learning, Embedded approaches, Imbalanced data classification
出版物
APPLIED SOFT COMPUTING
Volume 67, Issue -, Pages 94-105
出版商
Elsevier BV
发表日期
2018-03-06
DOI
10.1016/j.asoc.2018.02.051

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