计算机与现代化Issue(4)：56-60,5.DOI:10.3969/j.issn.1006-2475.2012.04.015
基于MS聚类分析模型的数据挖掘应用探讨
Discussion on Application of Data Mining Based on Microsoft Clustering Model
摘要
Abstract
The application of Microsoft clustering algorithm of data mining in financial field is discussed. The function of the data mining is mining potential information from the massive data. A business data mining system is created based on Microsoft clustering algorithm, which can provide better decisions and recommendations for the bank through filtering and mining the customers' transaction information. The client part of system is developed with the Visual Studio.NET 2008. And it uses the objects of AD0MD.NET and Web controls to display the result of mining. By using the application system it can analyze the customer's attributes to predict his credit and to predict his business tendency. In the creation of the instance model system the whole program of data mining is introduced in detail and it helps the development of data mining's application.关键词
聚类分析/数据挖掘/预测/业务趋向/实例系统Key words
clustering algorithm/data mining/prediction/business tendency/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聚类分析模型的数据挖掘应用探讨[J].计算机与现代化,2012,(4):56-60,5.基金项目
北京市人才强教计划——骨干教师基金资助项目(PHR201008428) （PHR201008428）
北京市教委科技发展计划基金资助项目(KM201110772013):北京市优秀人才培养基金资助项目(2010D005007000003) （KM201110772013）
