DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem
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Altres documents de l'autoria: Guzmán-Ponce, Angélica; Sánchez Garreta, Josep Salvador; Valdovinos Rosas, Rosa María; Marcial-Romero, J. Raymundo
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DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problemAutoria
Data de publicació
2020-11-12Editor
ElsevierCita bibliogràfica
GUZMÁN-PONCE, A., et al. DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem. Expert Systems with Applications, 2021, 168: 114301.Tipus de document
info:eu-repo/semantics/articleVersió
info:eu-repo/semantics/acceptedVersionParaules clau / Matèries
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The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have ... [+]
The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have been proposed, especially centered around resampling methods. This paper introduces a two-stage method that combines the DBSCAN clustering algorithm to filter noisy majority class instances with a graph-based procedure to overcome the class imbalance. We then experimentally evaluate the behavior of the proposed method on a collection of two-class imbalanced data sets. The experimental results show an improvement in the classification performance measured by the geometric mean of the accuracy on each class and also a higher reduction in the imbalance ratio when compared to several state-of-the-art under-sampling techniques. [-]
Publicat a
Expert Systems with Applications, Volume 168, April 2021Entitat finançadora
Universitat Jaume I | Universidad Autónoma del Estado de México | Mexican Science and Technology Council (CONACYT)
Codi del projecte o subvenció
UJI-B2018-49 | 5046/2020CIC | 702275
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Copyright © 2021 Elsevier B.V.
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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