In this paper, we proposed a Semi-supervised Pre-loan Fraud Detection (SPFD) system via investigating various supervised and unsupervised learning algorithms.
Abstract—This exploratory study aims to address the prob- lem that cash loan fraud customers are difficult to detect manually. Cash loan is a new consumption ...
The paper main researches the impact of big data on traditional bank lending and emerging internet financing for small and medium enterprises. Studies have ...
Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance. ICPS 2019: 635-640. [+][–]. Coauthor network. maximize. Note that this feature ...
[12] “Semi-Supervised Anti-Fraud Models for Cash Pre-. Loan in Internet Consumer Finance” Wanlin Sun1 , Ming. Chen1∗ , Jie-xia Ye1 , Yuhang Zhang1 , Cheng ...
Dec 14, 2023 · Hence, this work presents a semi-supervised outlier score-based Anti-Fraud model to identify the loan applicant as a genuine or fraudulent ...
Missing: Cash | Show results with:Cash
Towards Consumer Loan Fraud Detection: Graph Neural Networks ... A Graph-Based, Semi-Supervised, Credit Card Fraud Detection System (COMPLEX NETWORKS 2016).
Paper Search Results (BETA) ; 3. Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance · Wanlin Sun, Ming Chen, ..., Feipeng Qu. 2019
Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance · Computer Science, Business. 2019 IEEE International Conference on Industrial…
Jan 16, 2024 · We propose a Snorkel-based Semi-Supervised GNN (S3GNN). Under S3GNN, we specially design an upgraded version of the rule engines, called Graph-Oriented Snorkel ...