基于移动支付业务构建异网策反模型研究

Study on the construction of anti-network instigation model based on the mobile payment business

中国移动用户居世界首位,移动支付具有广阔的市场发展空间。翼支付业务作为某个通信业特有的业务种类,用户使用越来越广。文章深入挖掘移动用户在支付业务中的使用情况,例如消费水平、消费次数、消费偏好等,建立大数据分析,构建策反用户样本。通过SPSS Modeler对样本进行算法评估,构建最佳异网策反模型,提升异网策反成功率。

China mobile users ranks first in the world, mobile payment has a broad market space for development. The wing payment business as a special communication service type, user use more and more widely. This paper digs deeper into the use of mobile users in payment business, such as the level of consumption, consumption times, consumption preferences, etc., to establish big data analysis and build anti-user samples. The SPSS Modeler is used to evaluate the samples, and the optimal anti-network instigation model is constructed, to improve the success rate of anti-network instigation.