Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art

Understand

Anomaly detection for time-series data has been an important research field for a long time.

• Seminal work on anomaly detection methods has been focussing on statistical approaches.
• In recent years an increasing number of machine learning algorithms have been developed to detect anomalies on time-series.
• Subsequently, researchers tried to improve these techniques using (deep) neural networks.