ANALYSIS ON CREDIT CARD FRAUD DETECTION TECHNIQUES BY MACHINE LEARNING APPROACH

Miss. Prajakta Sukhdeve; Prof. M. M. Bartere

doi:10.17605/OSF.IO/Q2GX3

ANALYSIS ON CREDIT CARD FRAUD DETECTION TECHNIQUES BY MACHINE LEARNING APPROACH

Authors

Miss. Prajakta Sukhdeve Department of Computer Science G. H. Raisoni University, Amravati , India
Prof. M. M. Bartere Department of Computer Science G. H. Raisoni University, Amravati , India

DOI:

https://doi.org/10.17605/OSF.IO/Q2GX3

Keywords:

Fraud Detection, Credit Card, Machine Learning, Data Set, Artificial Neural Network.

Abstract

Use of online transactions in day to day life has been increasing since the last decade due to advances in echnology and network connectivity. Due to the ease, simplicity and user friendliness of online transactions, new users are constantly joining the vast population which benefitted from such system. Credit card is one of the most divisive products among all available financial tools. Besides being convenient, there are credit card frauds which are becoming main threat for the users. This paper is focused on analysis of five papers. In this paper, we have studied different fraud detection techniques and presented the techniques thoroughly.

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Published

2019-07-20

How to Cite

[1]

Miss. Prajakta Sukhdeve and Prof. M. M. Bartere, “ANALYSIS ON CREDIT CARD FRAUD DETECTION TECHNIQUES BY MACHINE LEARNING APPROACH”, IEJRD - International Multidisciplinary Journal, vol. 4, no. 5, p. 5, Jul. 2019.