Credit Card Fraud Detection and Prevention In Point of Sale Using Apriori Algorithm
Assistant Professor, Department of Computer Science, NGM College Pollachi – 642001. EMail: ngm@ngmc.org
Keywords:
Apriori Algorithm, Credit Card Fraud, Fraudulent types, , Hidden Markov ModelAbstract
Along with the great increase in credit card transactions, credit card fraud has become increasingly widespread in recent years. In Modern day the fraud is one of the major causes of great financial losses, not only for merchants, individual clients are also affected. Banks also use information provided by their own customers to help identify possible fraud. Credit card companies will record fraud attempts recognized by the customer rather than the credit card company and take steps to recognize similar charges on other customer’s credit cards. If it’s fraud for one person, it may also be fraud for another. Credit Card fraud begins either with the robbery of the physical card or with the concession of data associated with the account, including the card account number or other information that would routinely and necessarily be available to a merchant during a rightful transaction. The fraud is detected after the fraud is done i.e. the fraud is detected after the complaint of the card holder. So card holder faces a lot of trouble before the investigation finish. To avoid the above disadvantages the proposed system is used to detect the fraud in a best and easy way.
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