Fraud Detection Mobile Money Transaction : a data mining approach

Abstract

In terms of all kinds of money transaction there occurs a common problem which is fraud. Fraud is an increasing concept that can badly affect to the economy over the whole world. There are various types of fraud such as mobile payment fraud, credit card fraud, bank fraud, insurance fraud and other financial frauds. So, it is important to prevent fraud from financial transaction to save the economy system. And predicting fraud is one of the efficient ways for preventing fraud. The objective of our research is to detect fraud in mobile money transaction using data mining. Actually, we will analysis a synthetic transactional dataset using classification and will predict the probability of fraud in future transaction.