A closed frequent pattern mining method and apparatus using parallel processing, the closed frequent pattern mining method according to an aspect of the present invention comprises generating and storing projection data having a frequent pattern as a prefix pattern in a database, and priority of the stored projection data. Allocating the stored projection data to a plurality of processing nodes, generating a frequent pattern using the allocated projection data, and comparing the frequent pattern with the closed frequent pattern list to update the closed frequent pattern list. And if the frequent pattern is added to the closed frequent pattern list, generating and storing projection data using the frequent pattern as a prefix pattern.
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