Credit Card Fraud Identification using Logistic Regression and Random Forest
Wang Yundong,
Alexander Zhulev,
Omar G. Ahmed
Abstract:Fraud is an ancient yet ever-changing profession. Because of the digitization of money, financial transactions, banks, fraudsters now have a limitless number of possibilities to perpetrate crime from behind a screen, anywhere around the world. Fraud has a broad influence, with direct ramifications for business and the economy. It is of great worry to cybercrime organizations as recent studies have proven that ML algorithms may successfully be utilized to identify fraudulent transactions in massive amounts of p… Show more
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