Abstract
Data normalization is a laborious and costly process taking place in master data management soft-ware development in enterprises. We analyze the subtasks of the normalization and propose an approach to automating the most laborious of these subtasks. Also, we describe a software system implementing the proposed approach and automatically learning the expert skills.
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