数据挖掘在电子商务的应用英文作文

数据挖掘在电子商务的应用
电子商务的发展促使公司内部收集了大量的数据，并且迫切需要将这些数据转换成有用的信息和知识，数据挖掘概念就是从这样的商业角度开发出来的。

从商业的角度定义，数据挖掘是利用功能强大的数据挖掘技术，可以使企业把数据转化为有用的信息帮助决策，从而在市场竞争中获得优势地位。

一、数据挖掘在电子商务中的应用
由于数据挖掘能带来显著的经济效益，它在电子商务中（特别是金融业、零售业和电信业）应用也越来越广泛。

在金融领域，管理者可以通过对客户偿还能力以及信用的分析，进行分类，评出等级。

从而可减少放贷的麻木性，提高资金的使用效率。

在零售业，数据挖掘可有助于识别顾客购买行为，发现顾客购买模式和趋势，改进服务质量，取得更好的顾客保持力和满意程度，提高货品销量比率，设计更好的货品运输与分销策略，减少商业成本。

二、数据挖掘的具体应用方面
1找到潜在客户
2实现客户驻留
3改进站点的设计
4进行市场预测
Application of data mining in electronic commerce
The development of electronic commerce prompted the company to collect a lot of data, and the urgent need to convert data into useful information and knowledge, the concept of data mining is developed in such a business perspective.
Definition from a commercial point of view, data mining is the use of powerful data mining techniques, so that enterprises can transform the data into useful information to help decision, so as to obtain the advantage position in the market competition.
One, the application of data mining in electronic commerce
Because data mining can bring significant economic benefits, it is in the electronic commerce (especially in the financial industry, retail industry and telecommunication industry is more and more widely used).
In the field of finance, management can be classified by the repayment ability and credit analysis, to the customer, grades. Thereby reducing numb lending, improve efficiency in the use of funds.
In the retail industry, data mining can help to identify the customer buying behavior, discover customer buying patterns and trends, improve service quality, achieve better customer retention and satisfaction, enhance goods sales ratio, goods transportation and distribution strategy to design better, reduces the cost of doing business.
Two specific applications, data mining
1 to find potential customers
2 to achieve clients reside
3 improvement of the site design
4 market forecast。