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Document Type : Latin Dissertation
Language of Document : English
Record Number : 152311
Doc. No : ET24103
Main Entry : Soheila Ehramikar
Title Proper : The Enhancement of Credit Card Fraud Detection Systems using Machine Learning Methodology
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : In Canada, credit card h u d occurrences rose sharply in 1998 causing $147 million in losses. Toaddress this problem, financial institutions (Fls) are employing preventive measures and h u ddetection systems one of which is called FDS. Although FDS has shown good results in reducingfraud, the majority of cases being flagged by this system are Fdse Positives resulting.
Subject : Electericl tess
: برق
electronic file name : TL48305.pdf
Title and statement of responsibility and : The Enhancement of Credit Card Fraud Detection Systems using Machine Learning Methodology [Thesis]
 
 
 
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