MACHINE LEARNING-BASED APPROACHES FOR CREDIT CARD DEBT PREDICTION [PDF]
Malaysian Journal of ComputingThe primary concern in the stock market and banks that offer credit cards has been a problem over time. Regardless of their capacity to pay, most card users abuse their credit cards and accrue debt from cash cards.
Nurain Ibrahim +3 more
doaj +1 more source
Artificial Intelligence Based Credit Card Fraud Detection for Online Transactions Optimized with Sparrow Search Algorithm [PDF]
, 2023 C. Rohith Bhat, N Madhusundar.
openalex +1 more source
Credit Card Fraud: A New Perspective On Tackling An Intransigent Problem [PDF]
, 2011 This article offers a new perspective on battling credit card fraud. It departs from a focus on post factum liability, which characterizes most legal scholarship and federal legislation on credit card fraud and applies corrective mechanisms only after ...
Mana, Jafar +2 more
core +1 more source
MODELLING THE BANK CUSTOMER ACTIVITY DURATION BASED ON THE COX ECONOMETRIC SURVIVAL MODEL
Фінансово-кредитна діяльність: проблеми теорії та практики, 2023 The banking sector is constantly evolving, seeking effective ways to attract and retain clients, especially those with high financial potential. One of the ways to achieve this goal is to provide car loans at low interest rates, such as 0.01%.
Olena Piskunova Olena +3 more
doaj +1 more source
Machine Learning to Develop Credit Card Customer Churn Prediction
Journal of Theoretical and Applied Electronic Commerce Research, 2022 The credit card customer churn rate is the percentage of a bank’s customers that stop using that bank’s services. Hence, developing a prediction model to predict the expected status for the customers will generate an early alert for banks to change the ...
D. Al-Najjar, N. Al-Rousan, H. Al-Najjar
semanticscholar +1 more source
Safe Credit Card Standards: Policy Recommendations for Protecting Credit Cardholders and Promoting a Functional Marketplace [PDF]
, 2009 Summarizes an analysis of trends in unfair and deceptive credit card practices and how they affect cardholders, proposes new standards to protect consumers, and makes recommendations to Congress, credit card companies, and sponsors of co-branded ...
Nick Bourke
core
Quantitative Economics Research, 2018 This study aims to determine the effect of debit card transactions, credit card transactions and e-money transactions to currency demand in Indonesia. This research using model estimation Vector Error Correction models (VECM).
Nurma Saraswati, Imam Mukhlis
doaj +1 more source
Development of an efficient machine learning algorithm for reliable credit card fraud identification and protection systems [PDF]
MATEC Web of ConferencesRecent developments in e-commerce and e-payment systems have led to a rise in financial fraud incidents, particularly credit card fraud. Software tools to identify credit card theft are essential. Critical characteristics of credit card fraud are crucial
Maithili K. +8 more
doaj +1 more source
Neural data mining for credit card fraud detection [PDF]
, 2010 The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand is ...
Brause, Rüdiger W. +2 more
core
Pengaruh Faktor Demografi terhadap Perilaku Penggunaan Kartu Kredit [PDF]
, 2016 This study aimed to determine the effect of demographic factors on credit card USAge behavior. Demographic factors such as age, gender, income, education, marital status, according to some previous research has significant effect to credit card USAge ...
Anastasia, N. (Njo) +2 more
core +2 more sources