ZongXR/DCIC2023-Fraud-Risk-Identification
本赛题旨在运用有效的金融科技和大数据系统，分析涉赌涉诈资金交易新方式，持续优化风险监测模型，通过赛题提供的涉赌涉诈黑名单、白名单及用于训练的相关交易流水数据集，构建涉赌涉诈账户算法识别模型，全面排查存量风险。A榜排名11/1594，B榜排名13/1594。
ArchivedNo commits in the last 6 months.
Stars
47
Forks
19
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ZongXR/DCIC2023-Fraud-Risk-Identification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/fraudfinder
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on...
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
jube-home/aml-fraud-transaction-monitoring
Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring
curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for...
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection