Results 111 to 120 of about 34,999 (183)

Credit Card Fraud Detection Using Machine Learning [PDF]

open access: yes
In the modern digital economy, credit card fraud poses a significant challenge, necessitating the development of effective detection systems to mitigate substantial financial losses.
Kothari, Shivang Himmatbhai
core   +1 more source

Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

open access: yesIEEE Access
Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art methods used to analyse and detect complex patterns in ...
Ibomoiye Domor Mienye, Nobert Jere
doaj   +1 more source

Unsupervised feature selection and class labeling for credit card fraud

open access: yesJournal of Big Data
Large datasets frequently lack class labels, and obtaining labeled data often involves substantial financial and time costs, along with risks of label noise and inaccuracies due to manual annotation. In the context of fraud detection, such as credit card
Robert K. L. Kennedy   +2 more
doaj   +1 more source

Digital Transformation of Payment Systems: Fraud Issues and Detection Prospects

open access: yesВестник Кемеровского государственного университета. Серия: гуманитарные и общественные науки
The COVID-19 pandemic boosted digitalization in all areas of human activity, including finances. As a result, the problem of credit card fraud is particularly relevant today.
Abduragimova Tat'yana
doaj   +1 more source

Retraction Note: Optimizing credit card fraud detection with random forests and SMOTE. [PDF]

open access: yesSci Rep
Sundaravadivel P   +5 more
europepmc   +1 more source

Enhancing credit card fraud detection with a stacking-based hybrid machine learning approach. [PDF]

open access: yesPeerJ Comput Sci
Marazqah Btoush EAL   +4 more
europepmc   +1 more source

Credit Card Fraud Detection

open access: yesIJARCCE, 2016
Ishu Trivedi, Monik M, Mrigya Mridushi
openaire   +1 more source

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