Data preprocessing in the classification of the imbalanced data
Katarzyna Borowska, Magdalena Topczewska · Advances in computer science research · 2014
The article concerns the problem of imbalanced data classification. Two algorithms improving the standard SMOTE method have been created and tested. To measure the distance between objects the Euclidean or the HVDM metric was applied, depending on the number of nominal attributes in a dataset.