Artificial Intelligence Expert System for Anomaly Detection

An artificial intelligence expert system detects an anomaly between an application and a publication provided by an applicant in a given class. The system calculates an application score then uses a decision tree to determine a publication score based on the presence or absence of tokens in the publication. An anomaly is detected when the ratio of the application score to the publication score is greater than a threshold value. The decision tree is trained using prior applications in the same class. The publication score of each leaf node of the decision tree is set equal to an average application score of the prior applications associated with the leaf node.