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基于数据采集对经济理论和电子商务的客户关系管理的研究报告外文翻译_精品.doc

发布:2018-04-03约1.78万字共16页下载文档
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基于数据采集对经济理论和电子商务的客户关系管理的研究报告外文翻译 d economic logic for solving the problem of customer segmentation.The aim of the study is to obtain classification schemes able to support business marketing.Previous attempts for the same problem only used quantitative technologies of Data Mining.The management decision method facing economic logic thinking is proposed in this paper.The studying objective Of economic logic is economy activity ,With the broad application of IT and networking technology.electronic commerce is developing rapidly.Under the new economic form, |management decision needs use not only intelligent information technology but logical rational guideline and thinking.The paper combines decision tree technology of data mining technology and economic logic method to do the research of Customer Relationship Management in electronic commerce. This is an advantageous approach enabling combination of quantitative processing and qualitative analysis.A real ease is also discussed in detail,and the effective and supportive results prove that the management decision method facing economic logic thinking is worthwhile. Keywords:economic logic, management decision.data mining.decision tree.Customer relationship management1.Introduction The Internet is changing the world,which has impacted the model of people living,studying, working or entertainment in several fundamental ways.The Internet has become the important channel to collect.Release and convey information and forced traditional economic model to think of ways that this technology can be used to improve business management effectiveness.Electronic Commerce based on the Interact is developing with the more widespread application of the Internet and gradual improvement of the information technology.How to develop faster and enhance their competition are the hot issues in the business management field. The electronic information about products.materials end capital is shared and conveyed rapidly through netwo
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