Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level approach or sampling method, through over-sampling, under-sampling, or hybrid-sampling methods. However, data q...

Full description

Saved in:
Bibliographic Details
Main Authors: Fhira Nhita, Asniar, Isman Kurniawan, Adiwijaya
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Imbalanced data classification
sample denoising
sample optimization
evolutionary algorithms
Online Access:https://ieeexplore.ieee.org/document/11015704/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11015704/

Similar Items