A Novel Method to Find Credit Card Counterfeit Detection Using K-Means Algorithm

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T. Deepika, Dr. S. Manimekalai


The enactment of fraud perceiving in credit card communications is significantly exaggerated by the specimen methodology on data-set, collection of variables and recognition performances used. This paper considers the routine of logistic regression, decision tree and machine learning for credit card fraud recognition. For forecasting these communications banks create use of countless machine learning procedures, previous data has been composed and new structures are been recycled for increasing the analytical power. Credit card fraud commonly chances when the card was appropriated for any of the unsanctioned resolutions or straight when the fraudster consumptions the credit card info for their purpose. It adds more security to the previous system by addition cluster-based approach

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