HCBST: An Efficient Hybrid Sampling Technique for Class Imbalance Problems

Class imbalance problem is prevalent in many real-world domains. It has become an active area of research. In binary classification problems, imbalance learning refers to learning from a dataset with a high degree of skewness to the negative class. This phenomenon causes classification algorithms to...

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Veröffentlicht in:	ACM transactions on knowledge discovery from data 2021-11, Vol.16 (3), p.1-37, Article 57
Hauptverfasser:	Sowah, Robert A., Kuditchar, Bernard, Mills, Godfrey A., Acakpovi, Amevi, Twum, Raphael A., Buah, Gifty, Agboyi, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Boosting Cluster analysis Computing methodologies Feature selection
Online-Zugang:	Volltext
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