Patent ID: 11887126
Assignee: SIFT SCIENCE, INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. The machine learning-based method according to claim 10, wherein:
the plurality of distinct automated digital event decisioning routes defined in the probationary automated fraud or abuse detection workflow include:
(1) a first distinct automated digital event decisioning route that prevents a subject digital event from being processed to completion;
(2) a second distinct automated digital event decisioning route that enables a subject digital event to be processed to completion; and
(3) a third distinct automated digital event decisioning route that routes the subject digital event to a review queue associated with the target subscriber,

setting the distinct route execution condition of the first distinct automated digital event decisioning route includes defining a Boolean expression that evaluates if the distinct target digital event feature of the subject digital event has a value within the first distinct feature value range,
setting the distinct route execution condition of the second distinct automated digital event decisioning route includes defining a Boolean expression that evaluates if the value of the distinct target digital event feature exists within the second distinct feature value range, and
setting the distinct route execution condition of the third distinct automated digital event decisioning route includes defining a Boolean expression that evaluates if the value of the distinct target digital event feature exists between the first and the second distinct feature value range.