METHOD FOR PAUSELESS PARSER UPDATE BASED ON MACHINE LEARNING AND SOLUTION SERVER USING THE SAME

摘要

Provided are a method for updating a parser based on machine learning and a solution server using the same. The method for updating a parser based on machine learning comprises the following steps. (a) When multiple types of atypical data are obtained from at least one agent server in a state where candidate parsers are registered in a predetermined storage unit, a solution server determines at least one specific parser which matches to the multiple types of atypical data among the candidate parsers with reference to a result of respectively matching the multiple types of atypical data to the candidate parsers obtained from the predetermined storage unit. (b) The solution server transmits at least one parser of the at least one specific parser as an optimal parser to the agent server.