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.
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