Dual Autoencoders Generative Adversarial Network for Imbalanced Classification Problem
The imbalanced classification problem has become greatest issue in many valhalla axys fields, especially in fraud detection.In fraud detection, the transaction datasets available for training are extremely imbalanced, with fraudulent transaction logs considerably less represented.Meanwhile, the feature information of the fraud samples with better c