数据挖掘这个术语作为一种数理 统计的概念,应用于各行各业;在市场、 风险投资、客户管理中已成为客户生命 周期的各个阶段维持竞争力的一种必要 的工具。数据挖掘的形式之 数据捕 捞,过去被应用于那些没有达到合格标 准的产品合格率的研究标准,如工厂的 合格产品的合格率;海关进口产品的合 格率。产品合格率的统计,可利用T检 测法。T检测法:离散率p=(n-N)／N× 100％。其中n样品平均值,N表示群体 The term data mining is applied to all walks of life as a concept of mathematical statistics. It has become a necessary tool for maintaining competitiveness in all phases of the customer life cycle in the market, venture capital, and customer management. Data mining in the form of data mining has been applied in the past to research standards that do not meet the qualification standards for product qualification, such as the qualified rate of qualified products in factories, and the percentage of qualified products imported by customs. The T-test method can be used for the statistics of the product qualification rate. T detection method: discrete rate p=(n-N)/N×100%. Where n samples average, N represents population