DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation

Yueyan Gu, Farrokh Jazizadeh

Developing efficient time series anomaly detection techniques is important to maintain service quality and provide early alarms. Generative neural network methods are one class of…