Ying Chen

A hybrid deep learning and data mining approach for interpretable anomaly detection in high-dimensional time-series data

With the continuous growth of industrial data systems, vast high-dimensional time-series data are created from sensors and networks. This research introduces a hybrid deep learning and data mining framework for accurate, interpretable, and efficient anomaly detection in industrial cyber physical systems. The Industrial...