Abstract Proceedings of IESMDT - 2021
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DETECTION OF CREDIT CARD FRAUD SYSTEM
Obtaining credit card fraud is probably one of the best ways to identify smart high efficiency. In fact, this problem adds a fair amount challenges, namely: The concept of driving (customer habits emerges as well impostors change their strategies over time), class inequality (a fraudulent act far outnumbered by fraud) and affirmation latency (only a small set of purchases is time-tested investigators). However, most read algorithms proposed to detect fraud are based on assumptions that have nothing to do with the real world fraud detection system. (FDS). This absence of facts has to do with two important issues: i) i the manner and time in which the information is monitored and ii) the methods used to evaluate the effectiveness of fraud detection. This paper has three major contributions. First we suggest, With the help of an industrial partner, the legalization of The problem of finding the deception that best describes the operating conditions of FDSs is analyzing the daily broadcasts of credit card transactions.
Credit card fraud, fraud detection system
17/09/2021
238
IESMDT236
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025