数据挖掘技术在商业银行中的应用 |
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引用本文: | 陈敏.数据挖掘技术在商业银行中的应用[J].中国会计电算化,2011(9):59-62. |
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作者姓名: | 陈敏 |
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作者单位: | 北京银行博士后科研工作站,北京100081 |
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摘 要: | 数据挖掘能够有效分析商业银行数据库中的信息,将其转化为知识为银行的经验决策服务。本文在介绍数据挖掘技术及其主要任务的基础上,总结了数据挖掘在商业银行业务中的主要应用领域为客户关系管理、风险管理和金融欺诈监测,并具体介绍了数据挖掘技术在上述几个领域内的应用。
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关 键 词: | 数据挖掘 客户关系管理 风险管理 欺诈监测 |
Application of Data Mining Technology in Business of Commercial Banks |
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Authors: | CHEN Min |
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Institution: | CHEN Min(Post Doctoral Programme of Bank of Beijing,Beijing 100081,China) |
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Abstract: | Data mining analyses the massive data in the CRM system of commercial banks effectively,by turning the information into knowledge,data mining benefits the banks with making better business decision.Based on the introduction of data mining technology and the main mining targets,this paper summarizes that the CRM,risk management and fraud detection,and then introduces the application of data mining in those research fields. |
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Keywords: | Data Mining CRM Risk Management Fraud Detection |
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