FIELD: computer technology.
SUBSTANCE: following stages are performed: reception of transaction data; formation of a cleared dataset based on it; clustering; identification of a specific subset from a set of clusters, and reception of a user definition of a type for each cluster of this specific subset; training a prediction model, using logs; determination of transaction types for logs in the cleared dataset, which are not associated yet with a transaction type; formation of a report on transactions.
EFFECT: implementation of automatic formation of reports on completed transactions.
20 cl, 10 dwg
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