Low-count Time Series Anomaly Detection

Philipp Renz, Kurt Cutajar, Niall Twomey +2

Low-count time series describe sparse or intermittent events, which are prevalent in large-scale online platforms that capture and monitor diverse data types. Several distinct chal…