Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

A machine learning-powered intrusion detection system (IDS) using network behaviour anomaly detection (NBAD) can deal with similar attempts by tracing any atypical event, such as coordinated access ...

This article explains how to perform anomaly detection using LightGBM. LightGBM (lightweight gradient boosting machine) is a sophisticated ... default = 100 'num_leaves': 31, # default 'learning_rate' ...

Machine learning can be used to identify and profile devices on a network. That profile can determine the different features and behaviors of a given device. Automated anomaly detection ...