疑似网约车识别

为响应网约车“双证合规”安全监管工作的要求，利用机器学习模型，“精准”筛查以非营运使用性质从事营运行为的可疑新能源车辆，赋能交警对交通违法行为的精准打击和金融行业的反欺诈识别等领域工作。

To comply with the safety supervision requirements for the "two-certificate compliance" regulation of online car-hailing services, machine learning models are employed to accurately screen suspicious new energy vehicles that conduct operational activities under the pretence of non-operational use. This approach empowers traffic police to precisely crack down on traffic violations and supports anti-fraud identification tasks in the financial industry and other related fields.

搜集汇总

背景与挑战

背景概述

该数据集提供香港企业的全面风险监控服务，覆盖全国9000万家企业，实时更新，应用于金融风控、合规等多个场景。