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关联规则分析方法在商业银行应用的若干问题
引用本文:吴庆慧.关联规则分析方法在商业银行应用的若干问题[J].系统仿真学报,2008,20(8):2206-2209.
作者姓名:吴庆慧
作者单位:北京科技大学,北京,100083
摘    要:随着数据挖掘技术的发展,如何从海量数据中挖掘有用信息成为倍受关注的一个热点问题.银行信息的数据挖掘也成为非常活跃的应用领域.探讨了数据挖掘分析中的关联规则分析方法及在商业银行的应用,研究了其在分析客户交易行为及产品交叉营销等工作中的算法和模型,并提出了关联规则分析在商业银行应用的若干问题,指出了进一步研究的方向.

关 键 词:商业银行  数据挖掘  关联规则  交叉营销  客户风险控制

Some Issues with Applying Association Rules in Commercial Bank
WU Qing-hui.Some Issues with Applying Association Rules in Commercial Bank[J].Journal of System Simulation,2008,20(8):2206-2209.
Authors:WU Qing-hui
Abstract:With the development of data mining,how to extract valuable information from a very large database is becoming an attractive issue. Data-mining focusing on banking is also a very active application. Association rules analyzing in data mining and its role in commercial banks were discussed. Algorithms and models for cross marketing and customer behavior were focused on. Several problems on association rules analyzing were highlighted while they were used in commercial banks,and the direction of further research was pointed out.
Keywords:commercial bank  data mining  association rules  cross marketing  client risk control
本文献已被 CNKI 维普 万方数据 等数据库收录!
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