RESOLUTION OF DATA INCONSISTENCIES

摘要

Examples disclosed herein enable identifying a feature that is common to a first dataset and a second dataset, wherein a first value of the feature in the first dataset is different from a second value of the feature in the second dataset; determining a first predicted value of the feature in the first dataset based on a second dataset classifier trained on the second dataset; determining a second predicted value of the feature in the second dataset based on a first dataset classifier trained on the first dataset; determining a first similarity score between the first value and the first predicted value; determining a second similarity score between the second value and the second predicted value; and generating a bipartite graph that comprises a first node indicating the first value, a second node indicating the second value, and an edge indicating the first or second similarity score.

主权项

1. A method for execution by a computing device for resolving data inconsistencies, the method comprising:
identifying a feature that is common to a first dataset and a second dataset, wherein a first value of the feature in the first dataset is different from a second value of the feature in the second dataset; determining a first predicted value of the feature in the first dataset based on a second dataset classifier trained on the second dataset; determining a second predicted value of the feature in the second dataset based on a first dataset classifier trained on the first dataset; determining a first similarity score between the first value and the first predicted value; determining a second similarity score between the second value and the second predicted value; and generating a bipartite graph that comprises a first node indicating the first value, a second node indicating the second value, and an edge indicating the first or second similarity score.