An oversampling method based on adaptive artificial immune network and SMOTE

• Published in: Genetic programming and evolvable machines Vol. 26; no. 2
• Main Authors: Bai, Lin, Sun, Mengchen, Jiang, Xianlin, Liu, Jingxuan, Liu, Jialu, Pan, Xiaoying
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2025; Springer Nature B.V
• Subjects: Adaptive algorithms; Algorithms; Artificial Intelligence; Biomedical Engineering and Bioengineering; Classification; Compilers; Computer Science; Electrical Engineering; Interpreters; Oversampling; Programming Languages; Programming Techniques; Software Engineering/Programming and Operating Systems; Spatial data; Spatial distribution; Data distribution; Imbalanced data; Oversampling; Artificial immune network

The problem of data imbalance often causes classification algorithms to overlook the minority classes, which are usually more valuable in practical applications. Consequently, this impacts the classification performance. Sampling strategies balance class distribution at the data level, making them a...