Evidential reasoning based ensemble classifier for uncertain imbalanced data
Abstract
• EREC is proposed to classify uncertain imbalanced data . • AP-based oversampling is for between-class and within-class imbalance, and overlaps. • ER-based individual classifiers are constructed for classification with uncertain data. • Weights of individual classifiers are determined by classification performance on OOB data. • EREC is validated by experiments conducted based on real datasets and UCI datasets. Various studies have focused on...
Paper Details
Title
Evidential reasoning based ensemble classifier for uncertain imbalanced data
Published Date
Nov 1, 2021
Journal
Volume
578
Pages
378 - 400
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