Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series

Ferdinand Rewicki, Joachim Denzler, Julia Niebling

Detecting anomalies in time series data is important in a variety of fields, including system monitoring, healthcare, and cybersecurity. While the abundance of available methods ma…