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CSRBoost: Clustered Sampling With Resampling Boosting for Imbalanced Dataset Pattern Classification

Data mining and machine learning (DM & ML) approaches frequently face class imbalance (CI) issues, especially in binary classification tasks when one class significantly outnumbers the other. Due to their propensity to favor the majority class, traditional DM & ML methods may exhibit b...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Seema Yadav, Dhruvanshu Joshi, Soham Mulye, Labib Asari, Sandeep S. Udmale, Girish P. Bhole
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2025-01-01
Schriftenreihe:IEEE Access
Schlagworte:
AdaBoost
class imbalance
clustering
ensemble learning
oversampling
random undersampling (RUS)
Online-Zugang:https://ieeexplore.ieee.org/document/11184792/
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