Linking Deutsche Bundesbank Company Data Using Machine-Learning-Based Classification: Extended Abstract

We present a process of linking various Deutsche Bundesbank datasources on companies based on a semi-automatic classification. The linkage process involves data cleaning and harmonization, blocking, construction of comparison features, as well as training and testing a statistical classification model on a "ground-truth" subset of known matches and non-matches. The evaluation of our method shows that the process limits the need for manual classifications to a small percentage of ambiguously classified match candidates.