Identification of anomalous telecommunication service usage
AssigneeVerizon Patent and Licensing Inc.
InventorsSubham Biswas, Bharatwaaj Shankar, Sudhakar X. Lanka, Eswara P. Somarouthu, Keerthi Gudur
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AssigneeVerizon Patent and Licensing Inc.
InventorsSubham Biswas, Bharatwaaj Shankar, Sudhakar X. Lanka, Eswara P. Somarouthu, Keerthi Gudur
Estimating the term…
One or more computing devices, systems, and/or methods for identifying anomalous behavior of users are provided. In an example, users of a telecommunication service provider may be segmented into a plurality of user segments based upon telecommunication service metrics associated with the users. A machine learning model may be trained using telecommunication service information associated with users of the first user segment to generate a trained machine learning model. Using the trained machine learning model, a forecast of telecommunication service usage associated with a first user segment of the plurality of user segments. A telecommunication service usage metric, associated with a user belonging to the first user segment, may be compared with a range indicated by the forecast. The user may be flagged as having anomalous behavior based upon a determination that one or more telecommunication usage metrics, associated with the user, are outside one or more ranges indicated by the forecast.
A method comprising:
A non-transitory computer-readable medium storing instructions that when executed perform operations comprising:
A device comprising:
Dependencies are inferred from the claim text.