Credit Card Fraud Detection Using Decision Tree Algorithm

Poornima Mishra; Pranjal Dewangan; Sagar Dewangan; Sharmin Ansari; Assistant Professor Abhishek Kumar Dewangan

Credit Card Fraud Detection Using Decision Tree Algorithm

Author : Poornima Mishra, Pranjal Dewangan, Sagar Dewangan, Sharmin Ansari, Assistant Professor Abhishek Kumar Dewangan Journa Name: International Journal of Science, Engineering and Technology Country : India Volume: 12 issue: 3 Year: 2024 Views : 513

Abstract:

Credit card fraud poses significant challenges to financial institutions, merchants, and consumers alike. As fraudulent activities continue to evolve in sophistication and frequency, the need for robust fraud detection mechanisms becomes imperative. In this study, we propose the utilization of the Decision Tree algorithm as an effective tool for detecting credit card fraud. Decision trees are widely recognized for their simplicity, interpretability, and ability to handle both numerical and categorical data effectively. Leveraging these advantages, we employ a Decision Tree model to analyze historical credit card transaction data, identifying patterns and anomalies indicative of fraudulent behavior.