Abstract: Methods are provided for semantic processing of data files including detecting formats of data embedded in the data files and converting the data to formats compatible with a data analysis tool. The method may comprise semantically analyzing components of the data files to assess formatting across a required set of criterions needed by the data analysis tool and determining sets of data manipulation operations to perform to convert the data file to a compatible format. Semantic analysis of values in criterions across data entries may allow for groups of entries to be associated together with transaction ID values common to and unique to the groups of entries associated with a common transaction. The method may group data entries based on values in criterions, test potential groupings based on a behavior test to assess characteristics of entries when grouped in the proposed manner, and generate a new transaction ID criterion in each of the data entries.
Type:
Application
Filed:
November 15, 2020
Publication date:
August 12, 2021
Applicant:
MINDRIDGE ANALYTICS INC.
Inventors:
Robin Neil GROSSET, Wing-Leung CHAN, Michael Thomas SMITH, Corey Matthew YANOFSKY