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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...

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Hoofdauteurs: Seema Yadav, Dhruvanshu Joshi, Soham Mulye, Labib Asari, Sandeep S. Udmale, Girish P. Bhole
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2025-01-01
Reeks:IEEE Access
Onderwerpen:
AdaBoost
class imbalance
clustering
ensemble learning
oversampling
random undersampling (RUS)
Online toegang:https://ieeexplore.ieee.org/document/11184792/
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