Methods of Handling Unbalanced Datasets in Credit Card Fraud Detection

Nowadays fraudulent transactions of every type represent a major concern in the financial industry due to the total amount of money that are lost every year. Manually analyzing fraudulent transactions is unfeasible if we think at the huge amount of data and the complexity of bank fraud in the digitization era. In this context, the problem to detect the fraud can be achieved by machine-learning algorithms due to their ability of detecting small...