International Business Machines Corporation
DETECTION OF ASSOCIATIONS BETWEEN DATASETS

Abstract:

A computer device identifies (i) a dataset, (ii) a set of output class determinations made for data entries of the dataset by a computer decision algorithm, and (iii) an undesired disparity between output class determinations resulting from a first value of a first attribute of the dataset and output class determinations resulting from a second value of the first attribute. The computing device determines a value of a second attribute of the dataset is contributing to the undesired disparity by: providing an association rule mining model (i) a first group of the data entries having the first value of the first attribute, and (ii) a second group of the data entries having the second value of the first attribute, and selecting the value of the second attribute from a set of candidate attribute values produced by the association rule mining model based, at least in part, on a lift calculation.