1·Rough Set is a tool to deal with vague and uncertain data, therefore it becomes an important frame in DM.
粗集是一种处理模糊和不确定性数据的工具，因而成为数据挖掘中的重要框架。
2·The application of DM technique to banking consists of four components: customer relationship management, risk management, credit grade evaluation, and service analysis and forecasting.
数据挖掘技术在银行领域的应用有四个方面：银行客户关系管理、银行风险管理、银行信用等级评估、银行服务分析和预测。
3·Finally, the various relationship among the granules and the further effects of the information granules in DM are discussed.
最后，讨论了颗粒间的各种关系，并给出了信息颗粒在数据挖掘中的进一步作用。
4·In chapter three, it states the applications of DM technology based on statistics during the educational management and educational decision-making.
在第三章中阐述了教育管理决策过程中的基于数理统计的数据挖掘技术的应用。
5·With the support of the SAS system, it can help achieve better results if the methods of multi-variable analysis and other DM technologies are put to use.
在SAS系统的支持下，如果把多元分析方法与其它数据挖掘技术结合加以灵活运用，应该会有更好的效果。