| CPC G06F 18/2321 (2023.01) | 20 Claims |
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1. An apparatus for determining an instruction set, the apparatus comprising:
a processor;
a memory connected to the processor, the memory containing instructions configuring the processor to:
receive, from a user device, a plurality of datasets, wherein each dataset of the plurality of datasets describes a plurality of actions performed by an entity;
generate, for each dataset of the plurality of datasets, an outlier cluster, wherein generating the outlier cluster further comprises:
aggregating data included in each dataset of the plurality of datasets;
identifying data within aggregated data based on similarity and matching at least a portion of the plurality of actions;
assigning a quality score for the identified data based on assessing whether the identified data exceeds a threshold value; and
generating the outlier cluster as a function of the quality score;
receive, from the user device, a subject process describing a current state of the entity associated with the user device;
identify, for the outlier cluster of each dataset, a process modification model, wherein the process modification model describes a set of actions to be performed to increase a proximity of the subject process to the outlier cluster;
generate an interface data structure including an input field, wherein the interface data structure configures a remote display device to:
display the input field;
receive a user-input datum from the input field, wherein the user-input datum describes data for updating the subject process; and
display an instruction set determined using the process modification model, wherein displaying the instruction set comprises displaying an updated subject process based on the user-input datum.
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