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Journal ArticleOpen Access

A Comparative Study of Machine Learning Classifiers for Credit Card Fraud Detection

Author Affiliations
University of Dhaka
Published InDOAJ (DOAJ: Directory of Open Access Journals)
Year2020
Citations15

Abstract

Now a day’s credit card transactions have been gaining popularity with the growth of e-commerce and shows tremendous opportunity for the future. Therefore, due to surge of credit card transaction, it is a crying need to secure credit card transactions. Though the vendors and credit card providing authorities are showing dedication to secure the details of these transactions, researchers are searching new scopes or techniques to ensure absolute security which is the demand of time. To detect credit card fraud, along with other technologies, applications of machine learning and computational intelligence can be used and plays a vital role. For detecting credit card anomaly, this paper analyzes and compares some popular classifier algorithms. Moreover, this paper focuses on the performance…
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