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Application of Web Data Mining Technique to Enterprise Management of Electronic Commerce

机译:Web数据挖掘技术在电子商务企业管理中的应用

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As an absolutely necessary to electronic commerce management, with the methods of path analysis, correlation analysis, analysis of sequence pattern, assortment Analysis, cluster Analysis, knowledge discovery category, Web data mining technique offers strong support of data analysis technique by extracting information from mass data of electronic commerce to enterprises. By following certain Web data mining procedures in electronic commerce management, and according to date sources by keeping to themes of electronic commerce management, carrying out web date in preprocessing, conversion, integration, knowledge discovery and mode analysis, enterprises are able to ensure the safety of network information system, improve efficiency of customer relationship management, optimize electronic commerce website construction and build up coordinate operation management system to provide decision support for electronic commerce and enable the enterprises to be with sound competitiveness in the trend of electronic commerce.
机译:Web数据挖掘技术是电子商务管理中必不可少的手段,它通过路径分析,相关性分析,序列模式分析,分类分析,聚类分析,知识发现类别等方法,通过从大量信息中提取信息为数据分析技术提供了有力的支持。电子商务数据到企业。通过遵循电子商务管理中的某些Web数据挖掘程序,并按照日期来源并遵循电子商务管理的主题,在预处理,转换,集成,知识发现和模式分析中执行Web日期,企业可以确保安全完善网络信息系统,提高客户关系管理效率,优化电子商务网站建设,建立协调运行管理系统,为电子商务提供决策支持,使企业在电子商务发展趋势中具有良好的竞争力。

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