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Investigating Credit Card Payment Fraud with Detection Methods Using Advanced Machine Learning

In the cybersecurity industry, where legitimate transactions far outnumber fraudulent ones, detecting fraud is of paramount significance. In order to evaluate the accuracy of detecting fraudulent transactions in imbalanced real datasets, this study compares the efficacy of two approaches, random und...

Täydet tiedot

Tallennettuna:
Päätekijät: Victor Chang, Basit Ali, Lewis Golightly, Meghana Ashok Ganatra, Muhidin Mohamed
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2024-08-01
Sarja:Information
Aiheet:
machine learning
fraud detection
synthetic minority over-sampling technique (SMOTE)
under-sampling
Linkit:https://www.mdpi.com/2078-2489/15/8/478
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