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

Claim 8:
9. The machine learning-based method according to claim 8, wherein:
the distinct feature distribution graph constructed for each of the plurality of distinct digital event features comprises a plurality of distinct axes, including a feature value axis, a feature frequency axis, and a digital threat score axis;
each of the distinct feature distribution graphs corresponds to a target distinct digital event feature of the plurality of digital event features; and
constructing the distinct feature distribution graph for each of the plurality of digital event features includes:
plotting a plurality of distinct graphical points on the distinct feature distribution graph, wherein:
(a) each of the plurality of distinct graphical points relates to a distinct digital event data sample underlying the digital event data corpus; and
(b) each of the plurality of distinct graphical points is plotted based on (i) a value of the target distinct digital event feature for the distinct digital event data sample, (ii) a computed frequency of the value of the target digital event feature in the digital event data corpus, and (iii) a digital threat score value computed for the distinct digital event data sample.