Results 41 to 50 of about 5,553 (160)
Predictability of financial statements fraud-risk using Benford’s Law
The main objective of this research is to investigate the Predictability of Financial Statements Fraud-Risk Using Benford’s Law on the Tehran Stock Exchange.
Mehdi Rad +3 more
doaj +1 more source
A Review of Artificial Intelligence for Financial Fraud Detection
Financial fraud has expanded rapidly with the growth of the digital economy, evolving from conventional transactional misconduct to more complex and data-intensive forms. Traditional rule-based detection methods are increasingly inadequate for addressing
Haiquan Yang +2 more
doaj +1 more source
A Visualization Approach for Frauds Detection in Financial Market [PDF]
The traditional solutions to the stock market security are not sufficient in identifying attackers and further attack plans from the analysis of existing events.Therefore, it is difficult for analysts to prevent future unexpected events or frauds by only monitoring the realtime trading information.
Mao Lin Huang +2 more
openaire +1 more source
Expanding and Interpreting Financial Statement Fraud Detection Using Supply Chain Knowledge Graphs
The relationships within a supply chain are crucial for analyzing business transactions and can reveal significant patterns in disclosed financial data. These relationships also aid in the assessment and detection of financial fraud.
Shanshan Zhu +6 more
doaj +1 more source
Detecting Fraud In Financial Data Sets
<p class="MsoBlockText" style="margin: 0in 0.5in 0pt 35.4pt; mso-pagination: none;"><span style="font-style: normal; color: black; mso-themecolor: text1; mso-bidi-font-style: italic;" lang="EN-GB"><span style="font-size: x-small;"><span style="font-family: Times New Roman;">An important neef of corporations for internal audits ...
openaire +5 more sources
MORPHIC COMPUTING WITH MACHINE LEARNING FOR ENHANCED FRAUD DETECTION IN FINANCIAL APPLICATIONS [PDF]
As financial fraud becomes increasingly complex, traditional detection methods struggle to keep pace, resulting in substantial financial losses globally.
N.P. Ponnuviji, M. Vigilson Prem
doaj +1 more source
Financial Fraud Detection with Entropy Computing
15 pages including references and appendix, 6 ...
Babak Emami +5 more
openaire +2 more sources
Graph Learning-Empowered Financial Fraud Detection: Progress and Future Directions
Financial fraud detection is an important task in ensuring the integrity and security of financial systems. In recent years, it has been shown that graph learning, which utilizes the relational structure of data, can considerably enhance the detection of
Enxia Li +3 more
doaj +1 more source
FRAUD DETECTION OF FINANCIAL STATEMENTS WITH DIAMOND FRAUD ANALYSIS
This study aims to empirically test the detection of financial statement fraud using Fraud Diamond analysis which explains the factors that influence the occurrence of fraud. The population in this study is the infrastructure, utility, and transportation sector companies listed on the Indonesia Stock Exchange in 2016 – 2019 with a total of 83 companies.
Deliana, Deliana, Oktalia, Ruth Rebecca
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Objective. Bank card fraud is an increasingly serious problem for individuals, businesses and financial institutions. There is a need for effective fraud detection measures to protect consumers and businesses from financial losses. Method.
Abdourahman Djamal Djama
doaj +1 more source

