US 12,143,276 B2
Machine learning of pattern category identification for application component tagging and problem resolution
Mayank Sharma, Bangalore (IN); Anuj Gupta, Gurgaon (IN); and Gaurav Kumar Arora, Greater Noida West (IN)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Mar. 23, 2023, as Appl. No. 18/189,068.
Prior Publication US 2024/0323098 A1, Sep. 26, 2024
Int. Cl. H04L 41/16 (2022.01); H04L 41/5022 (2022.01); H04L 41/5054 (2022.01); H04L 41/5074 (2022.01)
CPC H04L 41/16 (2013.01) [H04L 41/5022 (2013.01); H04L 41/5054 (2013.01); H04L 41/5074 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving a plurality of tickets;
determining, by at least one artificial neural network, a pattern pertaining to an issue with an application, the pattern indicated among at least a portion of the plurality of tickets;
collecting data for a plurality of components associated with the application;
assigning respective priorities for ticket resolution for the plurality of components associated with the application, wherein the respective priorities assigned to at least two of the plurality of components associated with the application are different;
grouping the at least the portion of the plurality of tickets into a group comprising a primary ticket and at least one secondary ticket;
accessing automation steps from a database;
resolving the issue for the primary ticket by implementing the automation steps from the database; and
responsive to the resolving the issue by implementing the automation steps from the database for the primary ticket, closing the secondary ticket.