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

Title
Dealing with high-dimensional class-imbalanced datasets: Embedded feature selection for SVM classification
Authors
Keywords
Feature selection, Support Vector Data Description, Cost-sensitive learning, Embedded approaches, Imbalanced data classification
Journal
APPLIED SOFT COMPUTING
Volume 67, Issue -, Pages 94-105
Publisher
Elsevier BV
Online
2018-03-06
DOI
10.1016/j.asoc.2018.02.051

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