Results 151 to 160 of about 34,999 (183)

Sequence classification for credit-card fraud detection

Expert Systems With Applications, 2018
Abstract Due to the growing volume of electronic payments, the monetary strain of credit-card fraud is turning into a substantial challenge for financial institutions and service providers, thus forcing them to continuously improve their fraud detection systems. However, modern data-driven and learning-based methods, despite their popularity in other
Michael Granitzer   +2 more
exaly   +3 more sources

Machine Learning for Credit Card Fraud Detection

Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics, 2021
With the development of E-bank, the use of credit cards gets an unprecedented improvement as well as the problem of credit card fraud. To overcome this problem, we need automatic systems to finish the fraud detection. The number of monitored account data is so large that our human resources are unable to detect the whole dataset. Also, since the number
Yuxin Gao, Shuoming Zhang, Jiapeng Lu
openaire   +1 more source

Credit Card Fraud Detection with Resampling Techniques

2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
With the advancement of technology and consumer strength, the use of credit cards has rapidly increased. Credit Cards have shortened a transaction process making it simpler but has made the system prone to frauds. The information regarding one's credit card can easily be stolen and misused.
Prerak Parekh   +3 more
openaire   +1 more source

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