Review of smart credit card fraud detection approach using DM techniques
| Author(s) | : | Payal Boda, Prof. Dixita Kagathara |
| Institution | : | M.E. Scholar, Computer Engineering, Darshan Institute of Engineering & Technology, Rajkot |
| Published In | : | Vol. 8, Issue 2 — February 2021 |
| Page No. | : | 29-32 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Due to the surge of intrigued in online retailing, the utilize of credit cards has been quickly extended in latera long time. Taking the card details to perform online exchanges, which is called extortion, has moreover seen morehabitually. Preventive arrangements and moment extortion location methods are broadly considered due to basicmonetary misfortunes in numerous industries. In this work, Naïve Bayes, D-TREE and Multiple Additive Regression TreeClassifier (MART) show for the detection of credit card fakes on the spilling transactions is explored with the utilize ofdiverse qualities of card transactions. I am applying Naïve Bayes, D-TREE and Multiple Additive Regression TreeClassifier (MART) algorithm to detect the CC fraud then compare the result with all algorithms for getting higher CCfraud accuracy.
Payal Boda, Prof. Dixita Kagathara, “Review of smart credit card fraud detection approach using DM techniques”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 8, Issue 2, pp. 29-32, February 2021.
