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USING THE EXPLICIT AND IMPLICIT KNOWLEDGE TO IDENTIFY THE OF UNUSUAL TRANSACTIONS IN THE INTERNAL CONTROL PROCESS
Apalkova Tamara Gennadjevna
Moscow state university of mechanical engineering (MAMI)
PhD in Economical Science, Professor of the Informational Business Systems Department
Moscow state university of mechanical engineering (MAMI)
PhD in Economical Science, Professor of the Informational Business Systems Department
Abstract
The subject of the article is the substantiation of necessity of mathematical methods application in the process of monitoring internal operations of the organization in order to identify of unusual transactions as part of compliance with legal regulations aimed at anti money laundering. The use of mathematical tools is seen as a way to obtain the missing explicit knowledge about the specific transactions that allow to classify the latter as unusual and (or) fraudulent.
Keywords: data mining, explicit knowledge, implicit knowledge, internal control rules, Monitoring of transactions
Category: 08.00.00 Economics
Article reference:
Using the explicit and implicit knowledge to identify the of unusual transactions in the internal control process // Modern scientific researches and innovations. 2015. № 4. P. 4 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2015/04/52246
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