… on mobile device based payment using machine learning[J]. Frontiers … several traditional
machine learning algorithms and finally … Cost sensitive credit card fraud detection using Bayes …

… Due to the large amount of credit card transaction data, the … the number of fraud samples),
the fraud detection system needs to … This model firstly uses SMOTE algorithm to treat the small …

… the relational network with a graph representation learning result integrating spatial and
neighborhood adaptability. Finally, we completed the task of credit fraud detection. [Results] By …

… reviews. Through recognizing the users in fraud transactions—cheaters to recognize the
fraud … Compared with the shallow machine learning model, the comprehensive performance …

… Experimental results show that our deep learning-based anomaly detection method can
achieve 81.7% … 1 The framework of our deep learning-based anomaly detection method …

… neural network for credit card fraud detection. Proc AAAI … Online credit payment fraud detection
via structure-aware … system and algorithm co-design for practical machine learning. Proc …

… machine learning and deep learning related algorithms in the financial risk control industry
has been actively explored. Based on open source credit card … classification algorithms in the …

… Abstract: Financial fraud transaction detection has always been a key issue in the financial
field. However, the existing fraud detection methods ignore the feature sensitivity of the data …

… proposes an online anomaly detection framework with improved … on credit card transaction
fraud detection based on machine … A survey on machine learning for recurring concept drifting …

… Second, we introduce the development of financial intelligence and review state-of-the-art …
mining system for credit card fraud detection. Proc IEEE/IAFE Computational Intelligence for …