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Analysis of Web Data Mining in Ecommerce

机译:电子商务中网络数据挖掘分析

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Web mining has become a hot topic in data mining with the growth of Internet information, especially for Ecommerce. The information operated on by the Web mining process is contained in a historical database of previous interactions with customers and the features associated with the customers. The online enterprises would use this historical information to build a model of customer behavior that could be used to predict which customers would be likely to respond to the new product and make page recommendations to the customers based on their demands dynamically. This paper introduces the concept of web data mining and classification and describes methods and processes in the mining. On this basis, the paper analyzes the specific application of Web data mining.
机译:网络挖掘已成为数据挖掘的热门话题,互联网信息的增长,特别是对于电子商务。通过网络挖掘过程运行的信息包含在与客户相关的历史数据库中,以及与客户相关联的功能。在线企业将使用此历史信息来构建可用于预测哪些客户可能会对新产品进行响应的客户行为和基于其需求的方式进行响应的型号。本文介绍了Web数据挖掘和分类的概念,并描述了挖掘中的方法和过程。在此基础上,本文分析了Web数据挖掘的特定应用。

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