Binary ranking for ordinal class imbalance

Imbalanced classification has been extensively researched in the last years due to its prevalence in real-world datasets, ranging from very different topics such as health care or fraud detection. This literature has long been dominated by variations of the same family of solutions (e.g. mainly resa...

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Veröffentlicht in:	Pattern analysis and applications : PAA 2018-11, Vol.21 (4), p.931-939
Hauptverfasser:	Cruz, Ricardo, Fernandes, Kelwin, Costa, Joaquim F. Pinto, Ortiz, María Pérez, Cardoso, Jaime S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Fraud Model testing Original Article Pattern Recognition Ranking Regularization Resampling State of the art Support vector machines
Online-Zugang:	Volltext
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