Fraudulent Financial Transactions Detection Using Machine Learning-Reference-Cited by-同舟云学术

Fraudulent Financial Transactions Detection Using Machine Learning

Published:2023-10-10 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
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Author:

Abdaljawad Rabah Y. R.¹,Obaid Tareq²,Abu-Naser Samy S.²

Affiliation:

1. University Malaysia,Faculty of Business Economics and Social Development,Terengganu,Malaysia

2. Alazhar University, Gaza,Faculty of Engineering and Information Technology,Department of Information Technology,Gaza,Palestine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293182/10293222/10293697.pdf?arnumber=10293697

Reference32 articles.

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2. Mining Educational Data to Improve Teachers' Performance;almasri;Lecture Notes in Networks and Systems,2023

3. A New Algorithm for Audio Files Augmentation;alkayyali;Journal of Theoretical and Applied Information Technology,2023

4. Spectrogram Flipping: A New Technique for Audio Augmentation;zarandah;Journal of Theoretical and Applied Information Technology,2023

5. A Hybrid Approach for Credit Card Fraud Detection using Rough Set and Decision Tree Technique

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1. Comparative Assessment of Fraudulent Financial Transactions using the Machine Learning Algorithms Decision Tree, Logistic Regression, Naïve Bayes, K-Nearest Neighbor, and Random Forest;Engineering, Technology & Applied Science Research;2024-08-02