Patent ID: 11886230
Assignee: INTUIT INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method of claim 2, wherein the nodes corresponding to the set of cohorts are connected via branches from a higher-level cohort to one or more lower level cohorts, each branch being established based on reduced variance values and a condition threshold of the cohorting data feature of the higher-level cohort, and generating the one or more confidence scores further comprises:
traversing the statistical tree structure with the target dataset to determine the set of the target cohorts from the first node to a target leaf node by matching the values of the set of cohorting data features of the target dataset to satisfy the respective condition threshold of the cohorting data feature corresponding to the branch;
generating, based on a variance of values of the input data feature of each set of the target cohorts, the one or more confidence scores as a ratio of a variance of values for the input data feature of a higher-level cohort to a variance of values for the input data feature of an adjacent lower level cohort;
applying a sigmoid normalization function to normalize the one or more variance-based confidence scores; and
predicting the flagged anomaly field with a high confidence upon determining a greater reduction in variance in view of one or more normalized variance-based confidence scores on the leaf node target cohort compared to one or more corresponding higher-level cohorts.