Results 81 to 90 of about 34,803 (186)

Novel Machine Learning Based Credit Card Fraud Detection Systems

Mathematics
This research deals with the critical issue of credit card fraud, a problem that has escalated in the last decade due to the significant increase in credit card usage, largely driven by advances in international trade, e-commerce, and FinTech.
Xiaomei Feng, Song-Kyoo Kim
doaj   +1 more source

Mining Bad Credit Card Accounts from OLAP and OLTP

, 2017
Credit card companies classify accounts as a good or bad based on historical data where a bad account may default on payments in the near future. If an account is classified as a bad account, then further action can be taken to investigate the actual ...
Eberle, William, Ghafoor, Sheikh Khaled, Islam, Sheikh Rabiul   +2 more
core   +1 more source

A TOOL FOR EFFECTIVE DETECTION OF FRAUD IN CREDIT CARD SYSTEM [PDF]

, 2020
Due to the rise and rapid growth of E-Commerce, use of credit cards for online purchases has dramatically increased and it caused an explosion in the credit card fraud. Fraud is one of the major ethical issues in the credit card industry.
DUBEY, SURYA KANT, PANDEY, NAVEEN KUMAR, VATS, SATVIK   +2 more
core   +1 more source

Cyberattacks on Small Banks and the Impact on Local Banking Markets

Journal of Money, Credit and Banking, EarlyView.
Abstract Cyberattacks on small banks have direct and spillover effects in local markets. Following successful cyberattacks, hacked small banks experience a decline in deposit growth rates. This effect of cyberattacks is not observed in hacked large banks.
FABIAN GOGOLIN, IVAN LIM, FRANCESCO VALLASCAS   +2 more
wiley   +1 more source

Institutional Logics as a Resource and Risk: Logic Deviance and Categorical Penalties in US Community Banks

Journal of Management Studies, EarlyView.
Abstract Can institutional logics be damaging for the same category of actors they are presumed to benefit? Can firms prevent or reduce this detrimental effect? This study integrates the institutional logics perspective with category research to examine these questions in the context of community banks.
Stephen J. Smulowitz, Horacio E. Rousseau, Pino G. Audia   +2 more
wiley   +1 more source

Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection

Радіоелектронні і комп'ютерні системи
The subject matter of this article is enhancing credit card fraud detection systems by exploring the impact of oversampling rates and ensemble methods with diverse feature selection techniques.
Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini   +3 more
doaj   +1 more source

An Experimental Study With Imbalanced Classification Approaches for Credit Card Fraud Detection

IEEE Access, 2019
Credit card fraud is a criminal offense. It causes severe damage to financial institutions and individuals. Therefore, the detection and prevention of fraudulent activities are critically important to financial institutions.
Sara Makki, Zainab Assaghir, Yehia Taher, Rafiqul Haque, Mohand-Said Hacid, Hassan Zeineddine   +5 more
doaj   +1 more source

Tuned Out or Dialed In: How Attributions Shape Observer Reactions to Music Listeners at Work

Personnel Psychology, EarlyView.
ABSTRACT Music listening while working is prevalent in contemporary workplaces, with extensive research demonstrating its psychological and behavioral implications. Shifting focus from intra‐individual outcomes, the present research examines the social implications of music listening at work.
Oguz Gencay, Trevor Foulk, Michael Schaerer   +2 more
wiley   +1 more source

Machine Learning-Based Cyber Fraud Detection: A Comparative Study of Resampling Methods for Imbalanced Credit Card Data

Applied Sciences
The prevalence of online transactions and extensive adoption of credit card payments have contributed to the escalation of credit card cyber fraud in modern society.
Eyad Btoush, Thaeer Kobbaey, Hatem Tamimi, Xujuan Zhou   +3 more
doaj   +1 more source

Context-aware credit card fraud detection [PDF]

, 2019
La fraude par carte de crédit est devenue un problème majeur dans le secteur des paiements électroniques. Dans cette thèse, nous étudions la détection de fraude basée sur les données transactionnelles et abordons plusieurs de ces défis complexes en utilisant des méthodes d'apprentissage automatique visant à identifier les transactions frauduleuses qui ...
openaire   +2 more sources