Identifying source datasets that fit a transfer learning process for a target domain

A computing system comprising:

• an interface for receiving source datasets relating to a source domain and a target dataset relating to a target domain of interest, wherein each dataset is arranged in a tabular format comprising columns that correspond to features of the dataset and rows that correspond to instances of the dataset, and wherein the source datasets and the target dataset comprise a same feature space;
• a processor;
• and
• a computer-readable storage medium storing program instructions that direct the processor to:
• pre-process each source-target dataset pair to remove any non-intersecting columns;
• calculate at least two of a dataset similarity score, a row similarity score, and a column similarity score for each source-target dataset pair;
• and
• summarize the at least two of the dataset similarity score, the row similarity score, and the column similarity score for each source-target dataset pair to identify at least one source dataset that is most similar to the target dataset.

A computer program product, comprising a computer-readable storage medium having program instructions embodied therewith, wherein the computer-readable storage medium is not a transitory signal per se, and wherein the program instructions are executable by a processor to cause the processor to:

• receive source datasets relating to a source domain and a target dataset relating to a target domain of interest, wherein each dataset is arranged in a tabular format comprising columns that correspond to features of the dataset and rows that correspond to instances of the dataset, and wherein the source datasets and the target dataset comprise a same feature space;
• pre-process each source-target dataset pair to remove any non-intersecting columns;
• calculate at least two of a dataset similarity score, a row similarity score, and a column similarity score for each source-target dataset pair;
• and
• summarize the at least two of the dataset similarity score, the row similarity score, and the column similarity score for each source-target dataset pair to identify at least one source dataset that is most similar to the target dataset.