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 …
Intelligent financial fraud detection practices in post-pandemic era
The great losses caused by financial fraud have attracted continuous attention from
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …
academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus …
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 …
How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark
The core goal of this paper is to identify guidance on how the research community can better
transition their research into payment card fraud detection towards a transformation away …
transition their research into payment card fraud detection towards a transformation away …
A survey of credit card fraud detection techniques: data and technique oriented perspective
Credit card plays a very important rule in today's economy. It becomes an unavoidable part
of household, business and global activities. Although using credit cards provides enormous …
of household, business and global activities. Although using credit cards provides enormous …
A semantic rule based digital fraud detection
Digital fraud has immensely affected ordinary consumers and the finance industry. Our
dependence on internet banking has made digital fraud a substantial problem. Financial …
dependence on internet banking has made digital fraud a substantial problem. Financial …
IFDTC4. 5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection
SMS Askari, MA Hussain - Journal of Information Security and Applications, 2020 - Elsevier
As the on-line transaction has become one of most important day-to-day life activities,
security issues related with the on-line transactions has become most crucial part of the …
security issues related with the on-line transactions has become most crucial part of the …
[HTML][HTML] An online fuzzy fraud detection framework for credit card transactions
G Charizanos, H Demirhan, D İçen - Expert Systems with Applications, 2024 - Elsevier
Credit card transaction fraud is one of the challenging security concerns for financial firms
globally. The continuously changing environment of fraud characteristics and the class …
globally. The continuously changing environment of fraud characteristics and the class …
Credit risk assessment using machine learning algorithms
Financial institutions suffer from risk of losing money from bad customers. Specifically
banking sectors where the risk of losing money is higher, due to bad loans. This causes …
banking sectors where the risk of losing money is higher, due to bad loans. This causes …
Use Cases in Fintech
This chapter examines three common fintech use cases transforming the financial industry.
First, the chapter introduces fintech's role in enhancing financial services and promoting …
First, the chapter introduces fintech's role in enhancing financial services and promoting …