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。
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可应用的范围非常广泛，如客户关系管理、风险分析与控制、资金匹配、金融产品的赢利分析等等。
The application domains of data mining in bank industry are wide, including client relationship management, risk analysis and profit analysis of financial products.
基于数据挖掘技术的客户关系管理系统由数据存储和综合、多维数据分析、数据挖掘、模型库、方法库组成。
The Customer relationship management system based on data mining technique consists of data storage and colligation, multidimensional date analysis, data mining, model storage, method storage.
KDD技术在金融领域应用，主要集中在客户关系分析与管理方面，对交易数据的挖掘还不多见。
In financial, KDD is mainly used to analysis the custom relationship management. There hasn't many KDD method to be used in transaction data.
本文主要研究了我国商业银行分析型CRM，从数据仓库与数据挖掘技术的角度来分析个人银行业务客户关系管理。
This paper focuses on research of analytical CRM application in the commercial bank by using Data Warehouse and Data Mining in the fields of individual banking business application.
数据挖掘技术是一门综合多个学科的从数据中寻找规律的技术，该技术已经成功地应用于金融分析、市场分析、客户关系管理等多个行业。
Data mining is a multi subject comprehensive technology that can discover the rule from data. It has been applied successfully to finance analysis, market analysis, and custom relationship management.
分析了数据挖掘技术在电子商务中的应用，并从电子商务网站设计、客户关系管理、网络营销三个方面进行了具体的阐述。
Analyze the application of data mining in Electronic Commerce from three aspects: the design of Web site, Customer Relationship Management and Internet Marketing.
分析了关系技术提出的背景，阐述了关系技术的主要内容与主要特点，并结合实例介绍了关系技术在企业客户关系管理中的应用。
This article analyzes the background of Relationship Technology(RT), discusses the main content and characteristics of RT, and describes the application of RT in Customer Relationship Management.
本文将数据挖掘技术应用到商业银行的客户关系管理系统中，为商业银行的客户分类和交叉销售提供了数据分析上的支持。
We make use of the data mining technology in the CRM of commercial bank, give the support for classifying client and cross-sell.
客户关系管理软件的兴起，使数据挖掘等技术在市场、客户分析预测方面得到了广泛使用。
Recently, with the research of Customer Relationship Management(CRM) software, some new technologies such as data mining have been utilized widely in many fields such as market and customer analysis.
文中详细介绍了客户关系管理系统、数据仓库、联机分析处理和数据挖掘技术。
The CRM system, the Data warehouse, the OLAP (online analysis processing) and the technology of Data Mining are introduced in detail in the paper.
分析了建立西南航空公司客户关系管理（CRM）系统的关键技术及解决方案，并对实施CRM系统的可行性进行了分析。
The Key technologies of CSWA/CRM and the solutions for them are also discussed. Finally, the feasibility of CSWA/ CRM was analyzed.
分析了建立西南航空公司客户关系管理（CRM）系统的关键技术及解决方案，并对实施CRM系统的可行性进行了分析。
The Key technologies of CSWA/CRM and the solutions for them are also discussed. Finally, the feasibility of CSWA/ CRM was analyzed.
应用推荐