Credit card fraud Detection using Feature select method and improved machine learning algorithm
In today’s digital age, credit card fraud has become a serious issue, posing financial risks to individuals, businesses, and financial institutions alike. Detecting credit card fraud is crucial to limiting these risks and securing financial systems. This article presents an improved suppor...
Saved in:
| Main Author: | Mohammed AL-Hammadi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mosul University
2025-06-01
|
| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Subjects: | |
| Online Access: | https://csmj.uomosul.edu.iq/article_187703_ead4885b4436531b8c9dfd57684b0f21.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach
by: Rahul Kumar Gupta, et al.
Published: (2025-06-01) -
Credit card fraud detection through machine learning algorithm
by: Agyan Panda, et al.
Published: (2021-09-01) -
A novel approach based on XGBoost classifier and Bayesian optimization for credit card fraud detection
by: Mohammed Tayebi, et al.
Published: (2025-12-01) -
Unsupervised feature selection and class labeling for credit card fraud
by: Robert K. L. Kennedy, et al.
Published: (2025-05-01) -
Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection
by: Mohamed Akouhar, et al.
Published: (2025-02-01)