摘要
作为管理工作开展过程中的主要环节之一,决策方案可行与否十分重要。对于商业银行来说,包含了大量的个人业务客户,可以将其视为主要的消费群体,由于身份与行业不一样,具备的财富也存在一定的差异性。所以,在投资、消费等环节,和金融业务特点有所不同。上述差别与银行的成本、经济收益等紧密关联。面对此种情况,将数据挖掘技术运用到金融管理决策中可谓十分关键。通过说明数据挖掘技术相关情况,探究了决策支持系统技术,同时也分析了数据挖掘技术下金融管理决策支持系统的构建方案,充分发挥出数据挖掘技术的良好功效与作用,以便确保金融管理决策方案的合理性。
As one of the main links in the process of management work,it is very important to make a feasible decision.For commercial banks,they contain a large number of personal business customers,which can be regarded as the main consumer groups.Due to their different identities and industries,they also have certain differences in wealth.Therefore,in investment,consumption and other links,the financial business characteristics are different.These differences are closely related to the costs and economic benefits of banks.Facing this situation,it is very important to apply data mining technology to financial management decision.By explaining the relevant situation of data mining technology,this paper explores the technology of decision support system,and analyzes the construction scheme of financial management decision support system under data mining technology,which can give full play to the good effect and role of data mining technology,so as to ensure the rationality of financial management decision plan.
作者
郝季媛
Jiyuan Hao(University Putra Malaysia,056000)
关键词
数据挖掘技术
金融管理
决策
应用
Data Mining Technology
Financial Management
Decision Making
Application
