… The supervised and unsupervised machine learning models … real-time distributed fraud
scrutinizing method for credit card … The proposed model is the best suite for fraud detection …

… In this study, we introduce several traditional machine learning algorithms and finally …
credit card fraud detection using Bayes minimum risk. Proc 12 th Int Conf on Machine Learning …

… Besides, in comparison with machine learning, neural network performs much better after …
Florez-Lopez, “Effects of missing data in credit risk scoring. A comparative analysis of methods …

… paper will state the different machine learning applications expected to run the machine …
For example, ImageNet, the basic benchmark for preparing deep learning models for extensive …

… fraudulent, which has brought huge economic losses to the country and individuals. Due to
the large amount of credit card … number of fraud samples), the fraud detection system needs …

… deep learning. In this work, we study why the original SMOTE is insufficient for deep learning,
and enhance SMOTE using … Extensive experimental results demonstrate that our proposed …

… metrics from the source code as input features for machine learning models. … Comparative
analysis of pre-and post-classification ensemble methods for android malware detection. In …

… Cardwatch: A neural network based database mining system for credit card fraud detection.
… Deeplog: Anomaly detection and diagnosis from system logs through deep learning. …

… data analysis, such as credit card fraud, medical diagnosis … the incomplete data from the
complete data can improve the … accuracy is selected, using the complete data to simulate the …

… payment processing not just with credit cards but also Paypal, … use machine learning and
neural networks to hone complex … as processing refunds, fraud protection, and analysis tools. …