The effect of fraud diamond and financial stability on fraudulent financial statement with anti fraud as a moderating variable

Detecting evolutionary financial statement fraud

Available online 24 August 2010

Predicting financial statement fraud using fuzzy neural networks

Fraud is a common phenomenon in business, and according to Section 24 of the Iranian Auditing Standards, it is the fraudulent act of one or more managers, employees, or third parties to derive unfair advantage and any intentional or unlawful conduct. Financial statements are a means of transmitting confidential management information about the<br ...

Financial Statement Fraud Detection by Data Mining

-------------------------------------------------------------------ABSTRACT---------------------------------------------------------------------Financial losses due to financial statement frauds (FSF) are increasing day by day in the world. The industry recognizes the problem and is just now starting to act. Although prevention is the best way to reduce frauds, fraudsters are adaptive and will ...

How to Detect and Prevent Financial Statement Fraud

Detection of Financial Statement Fraud Using Evolutionary Algorithms

In this paper, a fuzzy rule-based classifier (FRBC) system was developed and used in two Evolutionary Algorithm Models to detect patterns of financial statement fraud and assess the effectiveness of a subset of SAS No. 99 red flag variables. Each FRBC was evolved by using Generic Algorithm(GA) and MARLEDA – a modern estimation of distribution algorithm (EDA) – and trained with a data collection...