计算机技术与发展Issue(1)：25-28,33,5.DOI:10.3969/j.jssn.1673-629X.2013.01.007
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
摘要
Abstract
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.关键词
关联规则/数据挖掘/预测/实例系统Key words
association rules algorithm/data mining/prediction/application system分类
信息技术与安全科学引用本文复制引用
刘城霞..基于 MS 关联规则数据挖掘模型的应用与探讨[J].计算机技术与发展,2013,(1):25-28,33,5.基金项目
北京市人才强教计划-骨干教师资助项目( PHR201008428) （ PHR201008428）
北京市教委科技发展计划项目(KM201110772013) （KM201110772013）
北京市优秀人才培养资助项目(2010D005007000003) （2010D005007000003）
