Abstract: Credit card fraud detection is a critical problem for any credit card issuing banks. The AdaBoost classifier is used in this study to identify fraudulent transactions. By comparing the ...

Decision Tree Classifier: A Decision Tree is a flowchart ... in detecting credit card fraud. By combining various classification algorithms, hyperparameter tuning, and visualization techniques, we can ...

Abstract: With the rise of digital payment methods and the growth in financial transactions, the issue of credit card fraud has become increasingly severe. Traditional fraud ... proposes a credit card ...

The goals of credit card fraud detection are to reduce ... then subjected to classification algorithms. Four classification approaches were used and their accuracy levels were evaluated. The steps of ...

As automated fraud detection ... identify credit card behavior patterns that are irregular for specific customers. My company created an automated, generalizable predictive algorithm that ...