Abstract: Anomaly detection is a fundamental task for time-series analytics with important implications for the downstream performance of many applications. Despite increasing academic interest and ...

For the Anomaly Detection module, we used bidirectional Long and Short-Term Memory (Bi-LSTM) to build an autoencoder network. Several essential experiments proved that our method has fewer parameters ...