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Publication
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Title of Article |
Comparative Assessment of Fraudulent Financial Transactions using the Machine Learning Algorithms Decision Tree, Logistic Regression, Naïve Bayes, K-Nearest Neighbor, and Random Forest |
Date of Acceptance |
12 June 2024 |
Journal |
Title of Journal |
Engineering, Technology & Applied Science Research |
Standard |
SCOPUS Q2 |
Institute of Journal |
Engineering, Technology and Applied Science Research (ETASR),Greece |
ISBN/ISSN |
1792-8036 |
Volume |
14 |
Issue |
4 |
Month |
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Year of Publication |
2024 |
Page |
15676-15680 |
Abstract |
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Keyword |
machine learning algorithms; data mining; customer payment transaction; data analytics |
Author |
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Reviewing Status |
มีผู้ประเมินอิสระ |
Status |
ตีพิมพ์แล้ว |
Level of Publication |
นานาชาติ |
citation |
true |
Part of thesis |
true |
ใช้สำหรับสำเร็จการศึกษา |
ไม่เป็น |
Attach file |
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Citation |
0
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