Variable population‐sized particle swarm optimization for highly imbalanced dataset classification
Author:
Affiliation:
1. Department of Information Technology Kongu Engineering College Erode India
2. Department of Computer Science and Engineering Nandha Engineering College Erode India
Publisher
Wiley
Subject
Artificial Intelligence,Computational Mathematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12436
Reference31 articles.
1. Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
2. ChenL CaiZ ChenL GuQ.A novel differential evolution‐clustering hybrid resampling algorithm on imbalanced datasets. Paper presented at: Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining. Phuket;2010;81‐85.https://doi.org/10.1109/WKDD.2010.48.
3. Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
4. SMOTE for high‐dimensional class‐imbalanced data;Blagus R;BMC Bioinform,2013
5. Generating fuzzy rule base classifier for highly imbalanced datasets using a hybrid of evolutionary algorithms and subtractive clustering;Mahdizadeh M;J Int Fuzzy‐Syst,2014
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