• Saramath Shamshida
• Mustafa Basthikodi
• Fathimathul Zohara
• Thameeza
• Mumthaz M

A system for credit card fraud detection is essential for today’s technology-driven market since majority of population uses the facility of credit card in the economic system. Here we use two algorithms in machine learning and compare the accuracy of system in credit card fraud detection. It uses full historical transactions of a person including normal transaction data or fraudulent to get normal/fraud transaction features and then these features are used to check whether a transaction is normal or not. The two machine learning supervised algorithms are Support Vector Machine (SVM) and Artificial Neural Network (ANN). The final result will be based on the most accurate algorithm used.

Fraud Detection, Classification, Support Vector Machine, Artificial Neural Network

"Evaluation of Credit Card Fraud Detection Using SVM and ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.100-103, May 2019, Available :http://www.jetir.org/papers/JETIRCU06021.pdf

"Evaluation of Credit Card Fraud Detection Using SVM and ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp100-103, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06021.pdf