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

机译:网络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:作为电子商务管理的绝对必要,通过路径分析,相关分析,序列模式分析,分类分析,集群分析,知识发现类别,Web数据挖掘技术通过从质量提取信息提供了对数据分析技术的强大支持企业电子商务数据。通过遵循电子商务管理中的某些Web数据挖掘程序,并根据日期来源通过遵守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进行Web日期,企业能够确保安全作者:王莹,网络信息系统,提高客户关系管理效率,优化电子商务网站施工,建设坐标运营管理系统,为电子商务提供决策支持,使企业能够在电子商务趋势下具有良好的竞争力。

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