| 基于数据挖掘视角的商业银行业绩聚类方法应用研究 |
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| 引用本文： | 王李.基于数据挖掘视角的商业银行业绩聚类方法应用研究[J].情报科学,2009,27(3). |
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| 作者姓名： | 王李 |
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| 作者单位： | 吉林大学管理学院,吉林,长春,130022
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| 摘 要： | 数据挖掘是涉及多学科的综合技术,它可以在海量数据中发现隐藏的、未知的、潜在的有用模式或知识.商业银行在日常经营管理中形成了规模巨大的数据库,通过数据挖掘技术,对银行的各种经营数据进行挖掘和聚类分析,可以为商业银行制订、修改财务政策提供依据.
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| 关 键 词： | 数据挖掘 聚类方法 商业银行 经营管理 |
Commercial Bank Achievement Cluster Method Applied Research Based on Data Mining |
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| WANG Li.Commercial Bank Achievement Cluster Method Applied Research Based on Data Mining[J].Information Science,2009,27(3). |
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| Authors: | WANG Li |
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| Institution: | Management School of Jilin University;Changchun 130022;China |
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| Abstract: | The data mining is involves the multi-disciplinary syntheses the technology,it may discover the hideaway in the magnanimous data,unknown,the latent useful pattern or the knowledge.The com-mercial bank has formed the scale huge database in the daily management and operation,through the data mining technology,carries on the excavation and the cluster analysis to the bank each kind of management data,may draw up,the revision finance policy for the commercial bank provides the ba-sis. |
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| Keywords: | data mining cluster method commercial bank operation management |
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