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Credit Card Fraud Detection using FPGA with K-NN Clustering

Author(s):

Deepika Kaushik , MANAV RACHNA INTERNATIONAL UNIVERSITY; Simple Sharma, MANAV RACHNA INTERNATIONAL UNIVERSITY

Keywords:

Data Mining, Decision Tree, Credit Card Fraud Detection (CCFD), Internet, E-Commerce Security, FPGA

Abstract

If the huge progression for the electronic commerce skill and advances in the communication networks. Credit card fraud detection is sprinkling all over the worldwide for succeeding in huge economic losses. In the machine learning Credit Card Fraud detection has been an interesting matter. Nowadays, the main reasons of expectant financial losses are credit card fraud detection that affect not only wholesalers but also separate customers. Due to huge promotion in credit card dealings that is the credit card fraud detection has convert more and more widespread in current centuries. Grouping model, Decision tree, frequent pattern Genetic algorithm (FPGA) are the proposed approaches to notice credit card fraud detection. In the presented system for the data mining technology, organization models that is founded on decision trees and FPGA are functional on credit card fraud detection problematic. In the operation of this method in credit card fraud detection systems, financial losses due to fake dealings can be reduced more.

Other Details

Paper ID: IJSRDV5I40369
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 515-517

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