| 论数据挖掘和企业财务分析 |
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| 引用本文： | 曹中.论数据挖掘和企业财务分析[J].平原大学学报,2004,21(1):35-36. |
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| 作者姓名： | 曹中 |
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| 作者单位： | 上海立信会计学院,上海,201600 |
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| 摘 要： | 在网络经济时代 ,一方面财务信息量以“爆炸”的方式增长 ,另一方面企业对财务分析的要求越来越高。财务作为整个企业信息系统的一个重要子系统 ,必须及时、准确地处理和分析各种经济事项。采用数据挖掘技术 ,就可以满足信息量超大、数据处理成本低的要求。从海量数据中发现模型和数据间的关系 ,从中挖掘出隐含的、先前未知的、对决策者有潜在价值的财务分析资料
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| 关 键 词： | 数据挖掘 数据库技术 财务分析 信息量 决策 |
| 文章编号： | 1008-3944(2004)01-0035-02 |
| 修稿时间： | 2003年11月5日 |
On Data Mining and Corporation Finance Analysis |
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| CAO,Zhong.On Data Mining and Corporation Finance Analysis[J].Journal of Pingyuan University,2004,21(1):35-36. |
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| Authors: | CAO Zhong |
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| Abstract: | In the web economic time, finance information is rising very fast, and finance analysis is highly demanded by corporations. Finance must tackle and analyze all kinds of economic affairs betimes and exactly as one of the most important system in a corporation's information system. Adopting the new technology-data mining can not only meet the requirement of coping with large amount of data but also reduce the cost of data processing. Data Mining can help the decision-maker to find the relationship between the model and data from a great lot of datum, and to get the hidden, unknown and valuable finance analysis information. |
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| Keywords: | data mining database technology finance analysis the amount of information decision-making |
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