Results 111 to 120 of about 112,889 (239)

Mitigating unbalanced and overlapped classes in credit card fraud data with enhanced stacking classifiers system [PDF]

, 2022
Nur Amirah Ishak, Keng-Hoong Ng, Gee-Kok Tong, Suraya Nurain Kalid, Kok–Chin Khor   +4 more
openalex   +1 more source

A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection

Technologies
Credit card fraud detection is a critical challenge in the financial industry, with substantial economic implications. Conventional machine learning (ML) techniques often fail to adapt to evolving fraud patterns and underperform with imbalanced datasets.
Ibomoiye Domor Mienye, Theo G. Swart
doaj   +1 more source

Research on the Behavior Analysis and Prediction of Credit Card Fraud

, 2020
Can Wang
openalex   +1 more source

Novel Machine Learning Based Credit Card Fraud Detection Systems

Mathematics
This research deals with the critical issue of credit card fraud, a problem that has escalated in the last decade due to the significant increase in credit card usage, largely driven by advances in international trade, e-commerce, and FinTech.
Xiaomei Feng, Song-Kyoo Kim
doaj   +1 more source

The role of diversity and ensemble learning in credit card fraud detection. [PDF]

Adv Data Anal Classif, 2022
Paldino GM, Lebichot B, Le Borgne YA, Siblini W, Oblé F, Boracchi G, Bontempi G.   +6 more
europepmc   +1 more source

Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection. [PDF]

Comput Intell Neurosci, 2023
Prabhakaran N, Nedunchelian R.
europepmc   +1 more source

RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System. [PDF]

Sensors (Basel), 2022
Padhi BK, Chakravarty S, Naik B, Pattanayak RM, Das H.   +4 more
europepmc   +1 more source

Credit Card Fraud Detection Using Feature Fusion-based Machine Learning Model

, 2022
Meng Qing
openalex   +1 more source

Class balancing framework for credit card fraud detection based on clustering and similarity-based selection (SBS). [PDF]

Int J Inf Technol, 2023
Ahmad H, Kasasbeh B, Aldabaybah B, Rawashdeh E.   +3 more
europepmc   +1 more source

Electronic Credit Card Fraud Detection System by Collaboration of Machine Learning Models

, 2019
S Raj, A Portia, R Jain, B Gour, S Dubey, N Dermala, A Agrawal, A Bahnsen, A Stojanovic, D Aouada, B Ottersten, E Carneiro, L Dias, A Da Cunha, L Mialaret, K Hafiz, S Aghili, P Zavarsky, H Sonepat, M Bansal, Deshen Wang, Bintong Chen, Jing Chen, Siddhartha Bhattacharyya, Neil Readshaw, Ian, Roberto Saia, Dal Pozzolo, Andrea, Nancy Demla, A Aggarwal, Mohammed Alowais, Lay-Ki Ibrahim, Soon   +33 more
openalex   +1 more source