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AssigneeCapital One Services, LLC
InventorsMatthew Louis Nowak, Michael Anthony Young, Jr., Christopher McDaniel
Estimating the term…
Methods and systems that use a plurality of machine learning models to both monitor user-generated data entries corresponding to differences in network traffic that may be evidence of a disruption and determine severity levels based on: (i) current and historic differences in average network traffic over the plurality of communication networks; (ii) current and historic user-generated data entries; and (iii) labeled severity levels for historic differences in average network traffic over the plurality of communication networks.
A system for determining severity levels of disruptions in communication networks in non-homogenous environments using models, the system comprising:
A method for determining severity levels of disruptions in communication networks in non-homogenous environments using models, the method comprising:
A non-transitory, computer-readable medium for determining severity levels of disruptions in communication networks in non-homogenous environments using models, comprising instructions that when executed by one or more processors, causes operations comprising:
Dependencies are inferred from the claim text.