A Review of Literature Based Online Fraud in India

Smita Tripathi
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Abstract

The purpose of the study is how the different researcher fraud can be predicted in the online transaction of data. Data analysis is an important part of fraud detection because data transformation into valuable information can result in competitive business advantages. The implementation of fraud prediction in any type of transaction on big data is one of the most important approaches applied by banks to using this approach, they shield their transaction, which is the Flow in the network. Fraud is an elementary problem with every financial institution in the word. Fraud has been a million-dollar business that is fastly growing at the international level.
印度基于文献的网络欺诈研究综述
本研究的目的是研究如何在网上数据交易中预测不同研究者的欺诈行为。数据分析是欺诈检测的重要组成部分,因为数据转换为有价值的信息可以带来有竞争力的业务优势。在任何类型的大数据交易中实施欺诈预测是银行使用这种方法的最重要的方法之一,他们保护他们的交易,这是网络中的流动。欺诈是世界上每个金融机构的基本问题。欺诈是一门价值百万美元的生意,在国际层面上迅速增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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