There is limited published research to detect financial statement fraud using digital analysis to analyse journal entry …

electronic commerce methods and the electronic payment fraud is a major problem.For example, the credit card fraud loss increases … every year and is regarded as one of the important issues in the credit card institutes and corporations. Therefore, fraud … detection is considered as an important research challenge. Fraud reduction is a complicated process requiring a body of …

to analyze the role of big data in financial institutions for financial fraud, for this purpose secondary data collected … unstructured big data play a positive role in the financial institutions for financial fraud .the ability to cope with larger data … that the significant values of secret associated data. Automated detection of fraud in financial institutions has aimed to …

in relation to the mitigation of internal fraud risk in the banking industry. This study employed an explanatory research … and five hidden neuron layers created to detect the presence of fraud and classify them into two, viz.: fraudulent and non …, the clustering of the fraud indicators was also carried out to group them based on their similarities. The results …

This study provides a critical review of the literature that examines and analyses how Fraud Prevention mediates the …, whistleblowing system and big data analytics for early detection for fraud prevention and prevention of financial crime behavior in … Indonesia, especially the problem of fraud that occurs in the Sumatra Regional Government, namely in Aceh, North Sumatra, Riau …

Online banking fraud occurs whenever a criminal can seize accounts and transfer funds from an individual's online bank … false alarms. This is a challenge for machine learning owing to the extremely imbalanced data and complexity of fraud. In … addition, classical machine learning methods must be extended, minimizing expected financial losses. Finally, fraud can only be …