Combining a Deep Anomaly Detection with a Semantic Knowledge Graph for Diagnosis
摘要
This chapter presents how the output of a data-driven anomaly detection system–consisting of a detected anomaly and the suspected causative data streams–can be integrated with the previously developed knowledge graph from Chapter 4 to enhance the diagnosis process for identifying an anomaly’s root cause.