中文
相关论文

相关论文: Dataset shift quantification for credit card fraud…

200 篇论文

Credit card fraud has emerged as major problem in the electronic payment sector. In this survey, we study data-driven credit card fraud detection particularities and several machine learning methods to address each of its intricate…

机器学习 · 计算机科学 2020-10-14 Yvan Lucas , Johannes Jurgovsky

Machine learning has opened up new tools for financial fraud detection. Using a sample of annotated transactions, a machine learning classification algorithm learns to detect frauds. With growing credit card transaction volumes and rising…

机器学习 · 计算机科学 2022-08-26 Gayan K. Kulatilleke

Credit card fraud is an ongoing problem for almost all industries in the world, and it raises millions of dollars to the global economy each year. Therefore, there is a number of research either completed or proceeding in order to detect…

机器学习 · 计算机科学 2020-07-30 Yusuf Yazici

Credit card is one of the most extensive methods of instalment for both online and offline mode of payment for electronic transactions in recent times. credit cards invention has provided significant ease in electronic transactions.…

机器学习 · 计算机科学 2024-09-23 Sourav Verma , Joydip Dhar

Credit card fraud causes significant financial losses and frequently occurs as fraud attack, defined as short-term sequence of fraudulent transactions associated with high transaction rates and amounts, business areas historically tied to…

最优化与控制 · 数学 2025-03-27 Alexander Stotsky

The rise of digital payments has accelerated the need for intelligent and scalable systems to detect fraud. This research presents an end-to-end, feature-rich machine learning framework for detecting credit card transaction anomalies and…

With the increase of credit card usage, the volume of credit card misuse also has significantly increased. As a result, financial organizations are working hard on developing and deploying credit card fraud detection methods, in order to…

机器学习 · 计算机科学 2019-12-09 Niloofar Yousefi , Marie Alaghband , Ivan Garibay

Credit and debit cards, rather than actual money, have become the universal payment means. With these cards, it has become possible to buy expensive items easily without an additional complex authentication procedure being conducted.…

密码学与安全 · 计算机科学 2013-06-25 Chae Chang Lee , Ji Won yoon

The detection of frauds in credit card transactions is a major topic in financial research, of profound economic implications. While this has hitherto been tackled through data analysis techniques, the resemblances between this and other…

社会与信息网络 · 计算机科学 2017-06-08 Massimiliano Zanin , Miguel Romance , Santiago Moral , Regino Criado

Card payment fraud is a serious problem, and a roadblock for an optimally functioning digital economy, with cards (Debits and Credit) being the most popular digital payment method across the globe. Despite the occurrence of fraud could be…

密码学与安全 · 计算机科学 2020-12-01 Bemali Wickramanayake , Dakshi Kapugama Geeganage , Chun Ouyang , Yue Xu

As the world is rapidly moving towards digitization and money transactions are becoming cashless, the use of credit cards has rapidly increased. The fraud activities associated with it have also been increasing which leads to a huge loss to…

人工智能 · 计算机科学 2021-08-24 Pooja Tiwari , Simran Mehta , Nishtha Sakhuja , Jitendra Kumar , Ashutosh Kumar Singh

Credit card plays a very important rule in today's economy. It becomes an unavoidable part of household, business and global activities. Although using credit cards provides enormous benefits when used carefully and responsibly,significant…

密码学与安全 · 计算机科学 2016-11-22 SamanehSorournejad , Zahra Zojaji , Reza Ebrahimi Atani , Amir Hassan Monadjemi

Credit card frauds are at an ever-increasing rate and have become a major problem in the financial sector. Because of these frauds, card users are hesitant in making purchases and both the merchants and financial institutions bear heavy…

机器学习 · 计算机科学 2020-12-08 Thanh Thi Nguyen , Hammad Tahir , Mohamed Abdelrazek , Ali Babar

Machine learning on data streams is increasingly more present in multiple domains. However, there is often data distribution shift that can lead machine learning models to make incorrect decisions. While there are automatic methods to…

机器学习 · 计算机科学 2022-05-02 João Palmeiro , Beatriz Malveiro , Rita Costa , David Polido , Ricardo Moreira , Pedro Bizarro

With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security. This study focuses on innovative applications of the latest Transformer models for more robust…

机器学习 · 计算机科学 2024-11-13 Chang Yu , Yongshun Xu , Jin Cao , Ye Zhang , Yinxin Jin , Mengran Zhu

The use of credit cards has become quite common these days as digital banking has become the norm. With this increase, fraud in credit cards also has a huge problem and loss to the banks and customers alike. Normal fraud detection systems,…

机器学习 · 计算机科学 2022-06-28 Bushra Yousuf , Rejwan Bin Sulaiman , Musarrat Saberin Nipun

The dark face of digital commerce generalization is the increase of fraud attempts. To prevent any type of attacks, state-of-the-art fraud detection systems are now embedding Machine Learning (ML) modules. The conception of such modules is…

Credit cards play an exploding role in modern economies. Its popularity and ubiquity have created a fertile ground for fraud, assisted by the cross boarder reach and instantaneous confirmation. While transactions are growing, the fraud…

密码学与安全 · 计算机科学 2022-08-24 Gayan K. Kulatilleke

Detection of a Fraud transaction on credit cards became one of the major problems for financial institutions, organizations and companies. As the global financial system is highly connected to non-cash transactions and online operations…

机器学习 · 计算机科学 2022-05-31 Dinara Rzayeva , Saber Malekzadeh

Card transaction fraud is a growing problem affecting card holders worldwide. Financial institutions increasingly rely upon data-driven methods for developing fraud detection systems, which are able to automatically detect and block…

应用统计 · 统计学 2020-05-07 Sebastiaan Höppner , Bart Baesens , Wouter Verbeke , Tim Verdonck
‹ 上一页 1 2 3 10 下一页 ›