Review article
A Review of the Research on Data Mining Techniques in the Detection of Fraud in Financial Statements
Dubravka Kopun
orcid.org/0000-0002-1177-6395
; Kopun revizije d.o.o., Zagreb
Abstract
Financial statement fraud is a type of fraud that contributes to the biggest lo-sses for businesses. In today’s business environment it has become possible to detect financial statement fraud by using data mining methods, which has in turn led to more research in the past 15 years. The first step in the successful implementation of a system for detecting financial statement fraud using data mining methods is defining financial ratios that can be powerful indicators in the detection of financial statement fraud. Of 110 financial and non-financial ratios analysed in the previously published research, eight (8) can be identified as being the most significant for forming a model for the detection of fraud in financial statements using data mining methods.
Keywords
financial statement frau; detection of fraud in financial statement; financial ratios
Hrčak ID:
207781
URI
Publication date:
30.6.2018.
Visits: 1.486 *