基于MS关联规则数据挖掘模型的应用与探讨  

Application and Discussion of Data Mining Model Based on Microsoft Association Rules Algorithm

作　　者：刘城霞[1,2] 

机构地区：[1]北京信息科技大学计算机学院,北京100101 [2]北京邮电大学计算机学院,北京100876

出　　处：《计算机技术与发展》2013年第1期25-28,33,共5页Computer Technology and Development

基　　金：北京市人才强教计划-骨干教师资助项目(PHR201008428);北京市教委科技发展计划项目(KM201110772013);北京市优秀人才培养资助项目(2010D005007000003)

摘　　要：文中研究了数据挖掘算法中的MS关联规则算法以及其在金融领域的应用。数据挖掘的作用就是要从海量的数据里找到有用的、潜在的信息,模型通过对客户账户及交易数据的过滤和深入挖掘,建立了一个为银行管理人员提供更好的智能决策和建议,为普通客户提供咨询的数据挖掘商业应用实例系统。系统的选择Visual Studio.NET 2008进行客户端的开发,使用ADOMD.NET对象连接挖掘模型和建立预测目标,使用Web控件对展示模型的结果。客户通过输入一些个人属性以及办理业务的基本要求,查看所关心的支付情况、贷款数量和应办理的信用卡类型,银行可以针对用户的支付特点,提供相应的增值服务等。在整个实例系统的构建过程中,对关联规则模型的挖掘过程进行了详细的分析,促进了数据挖掘的应用实践。The application of Microsoft association rules algorithm of data mining in financial field is discussed in this paper. The function of the data mining is mining useful and potential information from the massive data. A business data mining system is created based on Microsoft association rules algorithm, which can provide better decisions and recommendations for the bank through filtering and mining the customers＂ transaction information. The client part of the system is developed with the Visual Studio. NET 2008. And it uses the ob- jects of ADOMD. NET to associate the data warehouse and the interface and the Web controls to display the result of mining. By using the application system analyze the customer＇s attributes to predict the payment ability and credit card type. The bank also can supply more service based on the customer＇s interest. In the creation of the instmlce model system the whole program of data mining is introduced in detail and this helps the development of data mining＇s application.

关 键 词：关联规则 数据挖掘 预测 实例系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]