Patent ID: 11928209
Assignee: BANK OF AMERICA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A method for conserving resources while identifying a subset of inputs, from among a set of inputs, that most contributed to an output, the method comprising:
receiving a characterization output characterizing a first data structure;
determining a plurality of most important contributing factors to the characterizing the first data structure, the determining comprising:
identifying a plurality of data elements associated with the first data structure at a monitoring data unit;
feeding the plurality of data elements into a plurality of models;
processing the plurality of data elements at the plurality of models;
identifying a plurality of outputs from the plurality of models;
feeding the plurality of outputs into an event processor;
processing the plurality of outputs at the event processor;
grouping the plurality of outputs into a plurality of events at the event processor;
inputting the plurality of events into a determination processor;
determining, at the determination processor, a probability of the first data structure being associated with the characterization output;
determining, at the determination processor, that the determined probability is over a threshold probability of being associated with the characterization output;
in order to identify a predetermined number of data elements, included in the plurality of data elements, contributing to the characterization output:
multiplying the integrated gradient of the determination processor with respect to the plurality of outputs by (the integrated gradient of the event processor with respect to the plurality of data elements divided by the plurality of outputs), which results in a vector of:
a subset of the plurality of data elements; and
a probability that each data element, included in the subset of data elements, contributed to the characterization output;

ranking the subset of the plurality of data elements of the vector by the probability that each data element contributed to the characterization output; and
identifying a top predetermined number of data elements from the ranked subset of the plurality of data elements, the top predetermined number of data elements being the plurality of most important contributing factors to the characterizing the first data structure.