DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem

Angélica Guzmán-Ponce; J. Salvador Sánchez; Rosa María Valdovinos Rosas; J. Raymundo Marcial‐Romero

doi:10.1016/j.eswa.2020.114301

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DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem

Angélica Guzmán-Ponce J. Salvador Sánchez Rosa María Valdovinos Rosas J. Raymundo Marcial‐Romero

Year: 2020 Journal: Expert Systems with Applications Vol: 168 Pages: 114301-114301 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2020.114301

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Keywords:

Class (philosophy) Computer science DBSCAN Cluster analysis Artificial intelligence Resampling Graph Reduction (mathematics) Algorithm Pattern recognition (psychology) Face (sociological concept) Machine learning Data mining Mathematics CURE data clustering algorithm Theoretical computer science Correlation clustering

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem

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