CAJ | 학술논문

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.
문중연구료수거알굴산법중적 MS 관련규칙산법이급기재금융영역적응용.수거알굴적작용취시요종해량적수거리조도유용적、잠재적신식,모형통과대객호장호급교역수거적과려화심입알굴,건립료일개위은행관리인원제공경호적지능결책화건의,위보통객호제공자순적수거알굴상업응용실례계통.계통적선택 Visual Studio. NET 2008진행객호단적개발,사용 ADOMD. NET 대상련접알굴모형화건립예측목표,사용 Web 공건대전시모형적결과.객호통과수입일사개인속성이급판리업무적기본요구,사간소관심적지부정황、대관수량화응판리적신용잡류형,은행가이침대용호적지부특점,제공상응적증치복무등.재정개실례계통적구건과정중,대관련규칙모형적알굴과정진행료상세적분석,촉진료수거알굴적응용실천.
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 instance model system the whole program of data mining is introduced in detail and this helps the development of data mining's application.