Comparative Assessment of Fraudulent Financial Transactions using the Machine Learning Algorithms Decision Tree, Logistic Regression, Naïve Bayes, K-Nearest Neighbor, and Random Forest

Today, fast-paced technology plays an important role in financial transactions, especially in payment-related digital habits. As fraud is a major concern in online payments, many machine-learning approaches have been proposed to detect and prevent fraudulent payment transactions. This study aimed to...

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Vydané v:	Engineering, technology & applied science research Ročník 14; číslo 4; s. 15676 - 15680
Hlavní autori:	Manorom, Paiboon, Detthamrong, Umawadee, Chansanam, Wirapong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	02.08.2024
ISSN:	2241-4487, 1792-8036
On-line prístup:	Získať plný text
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