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A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique
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 Title & Authors
A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique
Jeong, Seong Hoon; Kim, Hana; Shin, Youngsang; Lee, Taejin; Kim, Huy Kang;
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 Abstract
Due to a rapid advancement in the electronic commerce technology, the payment method varies from cash to electronic settlement such as credit card, mobile payment and mobile application card. Therefore, financial fraud is increasing notably for a purpose of personal gain. In response, financial companies are building the FDS (Fraud Detection System) to protect consumers from fraudulent transactions. The one of the goals of FDS is identifying the fraudulent transaction with high accuracy by analyzing transaction data and personal information in real-time. Data mining techniques are providing great aid in financial accounting fraud detection, so it have been applied most extensively to provide primary solutions to the problems. In this paper, we try to provide an overview of the research on data mining based fraud detection. Also, we classify researches under few criteria such as data set, data mining algorithm and viewpoint of research.
 Keywords
Survey;Categorization;Financial Fraud;Fraud Detection;Data Mining;Credit Card;
 Language
Korean
 Cited by
1.
모바일 결제 환경에서의 데이터마이닝을 이용한 이상거래 탐지 시스템,한희찬;김하나;김휘강;

정보보호학회논문지, 2016. vol.26. 6, pp.1527-1537 crossref(new window)
1.
Fraud Detection System in Mobile Payment Service Using Data Mining, Journal of the Korea Institute of Information Security and Cryptology, 2016, 26, 6, 1527  crossref(new windwow)
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