ANALYSIS ON CREDIT CARD FRAUD DETECTION TECHNIQUES BY MACHINE LEARNING APPROACH

Abstract View PDF Download PDF

##plugins.themes.academic_pro.article.main##

Miss. Prajakta Sukhdeve
Prof. M. M. Bartere

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.

##plugins.themes.academic_pro.article.details##

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.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.