Recurring Anomaly Detection System (ReADS)

ReADS uses text clustering algorithms to group loosely related reports and documents, this reduces human error and fatigue. Plus, ReADS identifies interconnected reports; automating the discovery of possible recurring anomalies.

ReADS provides a visualization of the clusters and recurring anomalies. ReADS has been integrated into a secure web-based search tool to allow uses to perform their own text mining. Recurring Anomaly Identification ReADS identifies reports which mention other reports as a recurring anomaly using regular expressions to search documents and identify references of other reports by name.