CPC G06F 8/65 (2013.01) [G06N 20/00 (2019.01)] | 20 Claims |
1. A computer-implemented method comprising:
determining, by a computing system, an attribute associated with occurrence of a first event identified by a machine learning model, the first event associated with a first event type;
based at least in part on the attribute, identifying, by the computing system, occurrence of a second event associated with the first event type or a second event type, the second event not associated with a correct event type prior to identification of the occurrence of the first event;
labeling, by the computing system, the second event with a label based on association of the second event with the first event type or the second event type; and
re-training, by the computing system, the machine learning model based on the second event and the label.
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