本文借鉴国内外客户信用评价体系基础上,从公司的历史客户资料出发,引入数据挖掘技术分析其客户行为,构建了有效的数据挖掘决策树模型,从而建立了准确度较高的新标准客户信用风险管理规则。 Based on domestic and foreign customer credit evaluation system, based on the historical customer data of the company, this paper introduces data mining technology to analyze its customer behavior and builds an effective data mining decision tree model to establish a new standard customer credit with high accuracy Risk Management Rules.