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Please predict whether this patent is acceptable.PATENT ABSTRACT: There is provided a method for combining datasets, comprising: receiving a primary training dataset; receiving unclassified secondary dataset(s) comprising secondary data instances including secondary fields; identifying, for a first set of values of primary field(s) of training dataset, a second set of secondary fields of the secondary datasets according to the first set of values matched to corresponding values in respective secondary field(s) of secondary dataset(s) according to a matching requirement; linking each respective matched values to other secondary fields of the respective matched secondary field; generating a set of classification features based at least on the linked secondary fields; selecting a subset of pivotal classification features according to a correlation requirement; identifying a subset of pivotal secondary fields based on the secondary fields associated with each pivotal classification feature; and documenting the selected subset of pivotal features for use in an automated machine learning process.