Results 51 to 60 of about 5,600,956 (153)

Machine learning applications for Fraud Detection in finance sector

, 2022
Due to advances in information technology, instantaneous accessibility to financial services through digital channels has increased. Although digital platforms’ usage makes an individual’s life more comfortable, it may also cause some critical ...
Bozyiğit, Fatma, Taşer, Pelin Yıldırım, Fatma Bozyiğit, Pelin Yıldırım Taşer   +3 more
core   +1 more source

MORPHIC COMPUTING WITH MACHINE LEARNING FOR ENHANCED FRAUD DETECTION IN FINANCIAL APPLICATIONS [PDF]

ICTACT Journal on Soft Computing
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

Intelligent Financial Fraud Detection Practices: An Investigation [PDF]

, 2015
Proceedings of the 10th International Conference on Security and Privacy in Communication Networks (SecureComm 2014)
Jarrod West, Maumita Bhattacharya, Md. Rafiqul Islam 0001   +2 more
openaire   +3 more sources

Graph Learning-Empowered Financial Fraud Detection: Progress and Future Directions

Intelligent Computing
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, Mengshi Chen, Sheng Xiang, Ling Chen   +3 more
doaj   +1 more source

Financial Fraud Detection with Entropy Computing

15 pages including references and appendix, 6 ...
Babak Emami, Wesley Dyk, David Haycraft, Carrie Spear, Lac Nguyen, Nicholas Chancellor   +5 more
openaire   +2 more sources

An analytical assessment of credit card fraud detection techniques: Supervised, Unsupervised, and Reinforcement Learning

Вестник Дагестанского государственного технического университета: Технические науки
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

Detection of Frauds in Financial Reporting

International Journal of Recent Technology and Engineering (IJRTE), 2020
Many researches have been done on annual reports to detect whether it is fraud or not by the analytical and empirical part of the report. Annual reports provide information on a company’s activities throughout a year. By analyzing the annual report, we can identify the condition of the company whether it is in crisis or operating perfectly.
openaire   +1 more source

The Effect of Hexagon Fraud Theory on Financial Statement Fraud with Audit Committee As a Moderating Variable [PDF]

Increased competition forces companies to prepare accurate financial statements. However, this situation also encourages unethical practices, such as financial reporting fraud or manipulation.
Hasna, Dinda Aulia, Novianti, Nurlita
core   +1 more source

Reading Between the Lines: Incorporating Text Mining and Machine Learning in Financial Fraud Detection [PDF]

Notwithstanding rigorous oversight in the Indonesian capital market, the manipulation of financial reports continues to occur. This study examines the potential for employing machine learning (ML) models, which utilize linguistic features and financial ...
Septia Wibowo, Agung, Istianah, Iis
core   +1 more source

Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms

Wasit Journal of Computer and Mathematics Science
Context: Cloud-based services are increasingly central in financial technology, enabling scalable and efficient transactions. However, they also heighten vulnerability to fraud, challenging the security of online financial activities.
Ali Alhchaimi
doaj   +1 more source