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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Principais autores:	Seema Yadav, Dhruvanshu Joshi, Soham Mulye, Labib Asari, Sandeep S. Udmale, Girish P. Bhole
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	AdaBoost class imbalance clustering ensemble learning oversampling random undersampling (RUS)
גישה מקוונת:	https://ieeexplore.ieee.org/document/11184792/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!