Author:
Rekha Gillala,Reddy V. Krishna,Tyagi Amit Kumar
Publisher
Springer International Publishing
Reference18 articles.
1. Alcalá-Fdez, J., et al.: Keel data-mining software tool: data setrepository, integration of algorithms and experimental analysis framework. J. Multiple Valued Logic Soft Comput. 17 (2011)
2. Braytee, A., Hussain, F.K., Anaissi, A., Kennedy, P.J.: ABC-sampling for balancing imbalanced datasets based on artificial bee colony algorithm. In: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), pp. 594–599. IEEE (2015)
3. Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321–357 (2002)
4. Cieslak, D.A., Chawla, N.V.: Learning decision trees for unbalanced data. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 241–256. Springer (2008)
5. Datta, S., Das, S.: Near-bayesian support vector machines for imbalanced data classification with equal or unequal misclassification costs. Neural Netw. 70, 39–52 (2015)