FF-SMOTE: A Metaheuristic Approach to Combat Class Imbalance in Binary Classification
Nature inspired intelligent computation-based algorithms have been grown remarkably over the previous years. These algorithms are applied for optimizing the values to a number of problem areas ranging from scientific research to industry or commerce. Class imbalance is a challenging problem of class...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-04-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | http://dx.doi.org/10.1080/08839514.2019.1577017 |