Credit Cards and Inflation [PDF]
SSRN Electronic Journal, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Geanakoplos, Pradeep Dubey
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Credit Card Fraud Detection using Decision Tree and Random Forest [PDF]
ITM Web of Conferences, 2023 It is the time of technology advancement. Due to internet everything is available at the touch of a finger. There is a benefit of online shopping: first it saves lots of time and second it does not demand to go to market to buy anything.
Shah Dhwanir, Kumar Sharma Lokesh
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What is the key determinant of the credit card fraud risk assessment in Indonesia? An idea for brainstorming [PDF]
Banks and Bank Systems, 2023 This study examined the direct effect of brainstorming on fraud risk assessment at credit card issuing banks in Indonesia. Therefore, it was expected to help improve their performance in dealing with various credit card frauds.
Yuli Dewi +3 more
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An empirical analysis of debit card interchange fee regulation: Evidence from Brazil
Latin American Journal of Central Banking, 2023 This paper presents an empirical analysis of the introduction, in October 2018, of maximum thresholds (“caps”) on debit card interchange fees for domestic payment cards in Brazil.
Daniel Tavares de Castro +2 more
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CUS-RF-Based Credit Card Fraud Detection with Imbalanced Data
Journal of Risk Analysis and Crisis Response (JRACR), 2022 With the continuous expansion of the banks' credit card businesses, credit card fraud has become a serious threat to banking financial institutions. So, the automatic and real-time credit card fraud detection is the meaningful research work.
Wei Li, Cheng-shu Wu, Su-mei Ruan
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Factors influencing the effectiveness of credit card fraud prevention in Indonesian issuing banks [PDF]
Banks and Bank Systems, 2023 The increase in online credit card transactions in the digital era has caused an increase in credit card cyber incidents. This is happening globally, including in Indonesia.
Yuli Dewi +3 more
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Synthesizing credit card transactions
Proceedings of the Second ACM International Conference on AI in Finance, 2021 Two elements have been essential to AI's recent boom: (1) deep neural nets and the theory and practice behind them; and (2) cloud computing with its abundant labeled data and large computing resources. Abundant labeled data is available for key domains such as images, speech, natural language processing, and recommendation engines.
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PERSEPSI ANALIS KARTU KREDIT TENTANG RESIKO KARTU KREDIT PADA BANK KONVENSIONAL DAN BANK SYARIAH
Jurnal Akuntansi Indonesia, 2014 This study aimed to compare the perception of risk analysts credit card at conventional banks and Islamic banks , case studies on the BNI and BNI Syariah in Semarang which includes the process of risk management application, credit card risk ...
Hilda Febianne Prayogo
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A machine learning based credit card fraud detection using the GA algorithm for feature selection
Journal of Big Data, 2022 The recent advances of e-commerce and e-payment systems have sparked an increase in financial fraud cases such as credit card fraud. It is therefore crucial to implement mechanisms that can detect the credit card fraud.
Emmanuel Ileberi +2 more
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The Making of a Market: The Relational Aspects of Credit Card Installments in Turkey
İstanbul Üniversitesi Sosyoloji Dergisi, 2021 With over 80 million credit cards, the Turkish credit card market is one of the largest in Europe. As of July 2021, the total annual volume of credit card sales exceeded 588 billion Turkish lira.
Muhammed Fatih Karakaya
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