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Analysis of Web Data Mining in Ecommerce

机译:电子商务中的Web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:随着Internet信息的增长,Web挖掘已经成为数据挖掘中的热门话题,尤其是对于电子商务。通过Web挖掘过程操作的信息包含在历史数据库中,该数据库包含与客户先前的交互以及与客户相关的功能。在线企业将使用此历史信息来建立客户行为模型,该模型可用于预测哪些客户可能会对新产品做出响应,并根据其需求动态向客户提出页面建议。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,分析了Web数据挖掘的具体应用。

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