Vnutrenniy kontrol' v kreditnoy organizatsii 4(40), pp. 4–18 .
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Note - this is a foreign language paper: RUS
Abstract: Methods of data mining allow to increase the efficiency of the controller in detecting non-standard actions (including fraudulent ones). When conducting corporate investigations, he may need specialized tools to sort out the facts and detect deviations in large and complex financial records. Using the method proposed in the article, you can generate a risk indicator that allows you to quickly do this.
Bibtex:
@article{,
author = {Evgeny Zverev Andrey Nikiforov},
title = {Raspredeleniye Benforda: vyyavleniye nestandartnykh elementov v bol'shikh sovokupnostyakh finansovoy informatsii},
year = {2018},
journal = {Vnutrenniy kontrol' v kreditnoy organizatsii},
volume = {4},
number = {40},
pages = {4--18},
}
Reference Type: Journal Article
Subject Area(s): Accounting