| CPC G06N 20/00 (2019.01) [H04L 63/1416 (2013.01)] | 20 Claims |
|
9. A system, comprising:
a processor, and
at least one memory storing instructions executed by the processor to perform actions including:
applying a prefilter to a second data volume, resulting in a reduced second data volume comprising one or more third data elements identified within the second data volume;
wherein the prefilter is configured according to a process comprising:
classifying, by a trained machine learning classifier, first data elements in a first data volume;
wherein the trained machine learning classifier classifies the first data elements by assigning confidence values representing confidence that the first data elements belong in a classification of data elements;
identifying second data elements based on the confidence values, wherein the second data elements comprise a subset of the first data elements having confidence values that satisfy a threshold confidence value; and
subsequent to identifying the second data elements, configuring the prefilter based on the second data elements so that the prefilter is configured based on previously identified second data elements which were identified at least in part via the trained machine learning classifier, whereby the prefilter is configured to identify the one or more third data elements; and
classifying, by the trained machine learning classifier, the reduced second data volume by classifying the one or more of the third data elements identified within the second data volume, wherein the reduced second data volume is classified by the trained machine learning classifier at a reduced computational expense which is less than a computational expense of classifying the second data volume.
|