Anomaly detection plays a critical role in various industries, where the presence of abnormal behavior or unexpected patterns can indicate potential problems or opportunities. In this whitepaper, we introduce a technology developed to increase anomaly detection accuracy on time series data: the Anomaly Surfer, a light-weight deep learning anomaly detection model based on the wavelet transform and maximum likelihood estimation. More information [Picture source: ICT group on linkedin.com]
