PREDICTING OUTLIER DATA FROM NETWORK OF ELECTRONIC DATA
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United States of America
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Nov 7, 2024
app pub date -
May 2, 2023
filing date -
May 2, 2023
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Abstract
A computer-implemented method, computer program product, and/or computing system for determining unexpected data includes: running for a given claim a machine learning term prediction model with first and second term types to predict third type terms in a specific domain that uses a machine learning term embedding model that has learned the correlation between term types in the specific domain; determining cohesiveness between the predicted third type terms and the actual third type terms from the given claim; determining a value score between the predicted third type terms and the actual third type; and running a machine learning propensity model using the value score determined for the given claim and context data for the given claim to determine if the given claim is unexpected.
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