Rodrigo Castañón-Méndez

Improving the Performance of an Associative Classifier in the Context of Class-Imbalanced Classification

2021 · Electronics

Class imbalance remains an open problem in pattern recognition, machine learning, and related fields. Many of the state-of-the-art classification algorithms tend to classify all unbalanced dataset patterns by assigning them to a majority class, thus …