Fraud Detection in Credit Card by Clustering Approach

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
Fraud is an unauthorized activity taking place in electronic payments systems, but these are treated as illegal activities. Fraud detection methods are continuously developed to defend criminals in adapting to their strategies. Fraud can be identified quickly and easily through fraud detection techniques. In this paper, clustering approach is used for credit card fraud detection. Data is generated randomly for credit card and then K-means clustering algorithm is used for detecting the transaction whether it is fraud or legitimate.
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