1. Classification technique for the credit card fraud detection
Authors : Tamanna Chouhan, Ravi Kant Sahu
Pages : 283-286
DOI : http://dx.doi.org/10.21172/1.102.46
Keywords : Keywords – SVC, IAAFT, ROC, ISR Abstract :Abstract- The data mining is the technique which can mine useful information from the rough data. The prediction analysis is the technique of data mining which can predict new things from the current data. The classifications techniques are generally applied for the prediction analysis. This research work, is based on the prediction of the credit card fraud detection. The various techniques are proposed by the authors for the credit card fraud detection. The technique which is proposed in the base paper is based on the conventional neural networks in which system learns from the previous experiences and drive new values. In this research work, the SVM classifier is proposed for the credit card fraud detection which can classify input data into normal and fraud transactions. In the proposed technique, input data is divided into test and training sets. On the basis of test and training sets the normal and fraud transactions are predicted in terms of precision and recall.
Citing this Journal Article :Tamanna Chouhan, Ravi Kant Sahu, "Classification technique for the credit card fraud detection", Volume 10 Issue 2 - April 2018, 283-286
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