Financial fraud detection based on machine learning: a systematic literature review
Financial fraud, considered as deceptive tactics for gaining financial benefits, has recently
become a widespread menace in companies and organizations. Conventional techniques …
become a widespread menace in companies and organizations. Conventional techniques …
Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
KG Al-Hashedi, P Magalingam - Computer Science Review, 2021 - Elsevier
This paper gives a comprehensive revision of the state-of-the-art research in detecting
financial fraud from 2009 to 2019 inclusive and classifying them based on their types of …
financial fraud from 2009 to 2019 inclusive and classifying them based on their types of …
Performance of machine learning techniques in the detection of financial frauds
I Sadgali, N Sael, F Benabbou - Procedia computer science, 2019 - Elsevier
Financial fraud presents more and more threat that has serious consequences in the
financial sector. As a result, financial institutions are forced to continually im-prove their fraud …
financial sector. As a result, financial institutions are forced to continually im-prove their fraud …
Intelligent financial fraud detection: a comprehensive review
J West, M Bhattacharya - Computers & security, 2016 - Elsevier
Financial fraud is an issue with far reaching consequences in the finance industry,
government, corporate sectors, and for ordinary consumers. Increasing dependence on new …
government, corporate sectors, and for ordinary consumers. Increasing dependence on new …
[PDF][PDF] Analysis on credit card fraud detection techniques: based on certain design criteria
Financial fraud is increasing significantly with the development of modern technology and
the global superhighways of communication, resulting in the loss of billions of dollars …
the global superhighways of communication, resulting in the loss of billions of dollars …
Intelligent fraud detection in financial statements using machine learning and data mining: a systematic literature review
MN Ashtiani, B Raahemi - Ieee Access, 2021 - ieeexplore.ieee.org
Fraudulent financial statements (FFS) are the results of manipulating financial elements by
overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses …
overvaluing incomes, assets, sales, and profits while underrating expenses, debts, or losses …
A review of machine learning applications for credit card fraud detection with a case study
Z Faraji - SEISENSE Journal of Management, 2022 - journal.seisense.com
Purpose-This paper aims to highlight the widely used supervised techniques applied for
fraud detection. In addition, this paper aims to apply some techniques to evaluate their …
fraud detection. In addition, this paper aims to apply some techniques to evaluate their …
Artificial intelligence and fraud detection
Fraud exists in all walks of life and detecting and preventing fraud represents an important
research question relevant to many stakeholders in society. With the rise in big data and …
research question relevant to many stakeholders in society. With the rise in big data and …
[HTML][HTML] Credit card fraud detection using artificial neural network
RB Asha, SK KR - Global Transitions Proceedings, 2021 - Elsevier
Frauds in credit card transactions are common today as most of us are using the credit card
payment methods more frequently. This is due to the advancement of Technology and …
payment methods more frequently. This is due to the advancement of Technology and …
A financial fraud detection model based on LSTM deep learning technique
Y Alghofaili, A Albattah, MA Rassam - Journal of Applied Security …, 2020 - Taylor & Francis
As the use of the internet is growing exponentially, more and more businesses such as the
financial sector are operationalizing their services online. Consequently, financial frauds are …
financial sector are operationalizing their services online. Consequently, financial frauds are …