Results 161 to 170 of about 34,803 (186)

Bayesian optimization driven strategy for detecting credit card fraud with Extremely Randomized Trees. [PDF]

MethodsX
Lim ZY, Pang YH, Kamarudin KZB, Ooi SY, Hiew FS.   +4 more
europepmc   +1 more source

Anomaly detection in double-entry bookkeeping data by federated learning system with non-model sharing approach. [PDF]

Sci Rep
Mashiko S, Kawamata Y, Nakayama T, Sakurai T, Okada Y.   +4 more
europepmc   +1 more source

Enhancing audit quality and reducing costs: the impact of AI in banking and financial services. [PDF]

Front Artif Intell
Johri A, Sayal A, Chong KM, Khoja M, N C, Jha J, Tyagi N.   +6 more
europepmc   +1 more source

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Sequence classification for credit-card fraud detection

Expert Systems with Applications, 2018
Abstract Due to the growing volume of electronic payments, the monetary strain of credit-card fraud is turning into a substantial challenge for financial institutions and service providers, thus forcing them to continuously improve their fraud detection systems. However, modern data-driven and learning-based methods, despite their popularity in other
Jurgovsky, Johannes, Granitzer, Michael, Ziegler, Konstantin, Calabretto, Sylvie, Portier, Pierre-Edouard, He-Guelton, Liyun, Caelen, Olivier   +6 more
openaire   +4 more sources

Credit card fraud detection system

i-manager's Journal on Digital Forensics & Cyber Security, 2023
Credit card fraud is a significant problem for financial institutions and cardholders and can result in significant financial losses and damage to reputation. Detecting and preventing fraud in credit card transactions is critical to minimizing losses and maintaining customer trust.
Makombe Ernest, Chatola Fanny, J. Pradeep, G. Glorindal   +3 more
openaire   +1 more source

Credit Card Fraud Detection

2019
Worldwide billions of dollars per year goes into vain because of credit card fraud which is a major on growing problem. High tech advanced classification methods provide the ability to detect these fraudulent transactions without much disturbance to legal transactions.
Ruchika Janbandhu, Shameedha Begum, N. Ramasubramanian   +2 more
openaire   +1 more source

Credit card fraud detection system

2008 7th IEEE International Conference on Cybernetic Intelligent Systems, 2008
The use of credit cards is prevalent in modern day society. But it is obvious that the number of credit card fraud cases is constantly increasing in spite of the chip cards worldwide integration and existing protection systems. This is why the problem of fraud detection is very important now. In this paper the general description of the developed fraud
V. Filippov, L. Mukhanov, B. Shchukin
openaire   +1 more source

HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture

Information Sciences, 2021
Qili Wang
exaly  

Retracted: Credit Card Fraud Detection

2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2022
Shreya Singh, Ayush Maheshwari
openaire   +1 more source

CATCHM: A novel network-based credit card fraud detection method using node representation learning

Decision Support Systems, 2023
Rafaël Van Belle, Bart Baesens, Jochen De Weerdt   +2 more
exaly