Optimization of data resampling through GA for the classification of imbalanced datasets

Optimization of data resampling through GA for the classification of imbalanced datasets

Classification of imbalanced datasets is a critical problem in numerous contexts. In these applications, standard methods are not able to satisfactorily detect rare patterns due to multiple factors that bias the classifiers toward the frequent class. This paper overview a novel family of methods for...

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Bibliographic Details
Main Authors: Filippo Galli, Marco Vannucci, Valentina Colla
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2019-10-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
imbalanced datasets
classification
data resampling
genetic algorithm
Online Access:http://ijain.org/index.php/IJAIN/article/view/409

Internet

http://ijain.org/index.php/IJAIN/article/view/409

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