ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm

@article{Braytee2015ABCsamplingFB,
  title={ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm},
  author={Ali Braytee and Farookh Khadeer Hussain and Ali Anaissi and Paul J. Kennedy},
  journal={2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)},
  year={2015},
  pages={594-599}
}
Class imbalanced data is a common problem for predictive modelling in domains such as bioinformatics. It occurs when the distribution of classes is not uniform among samples and results in a biased prediction of learning towards majority classes. In this study, we propose the ABC-Sampling algorithm based on a swarm optimization method called Artificial Bee… CONTINUE READING