A Review of Fuzzy and Pattern-Based Approaches for Class Imbalance Problems

The usage of imbalanced databases is a recurrent problem in real-world data such as medical diagnostic, fraud detection, and pattern recognition. Nevertheless, in class imbalance problems, the classifiers are commonly biased by the class with more objects (majority class) and ignore the class with f...

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Bibliographic Details
Main Authors: Ismael Lin, Octavio Loyola-González, Raúl Monroy, Miguel Angel Medina-Pérez
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/14/6310