数据挖掘在电子商务中的应用研究

本文主要介绍数据挖掘在电子商务中的应用,文章从数据挖掘的定义、数据挖掘的常用方法出发,阐述了数据挖掘在海量信息中提取有效信息的作用,特别是数据挖掘与电子商务的结合可以给人们生活带来便利,给企业带来新的利润空间以及为企业提供决策支持。常用的数据挖掘技术主要包括支持向量机、朴素贝叶斯、聚类、决策树、神经网络和关联规则等,最后介绍了数据挖掘在电子商务的4个主要应用方面,说明了数据挖掘存在的必要性。

The Applications Study of Data Mining in E-commerce

This paper introduces datamining in e-commerce applications,the article the definition of datamining,datamining commonly used method of departure,described the role of datamining to extract useful information in the mass of information,especially datamining and e-commerce combination can bring convenience to people's lives,to bring new business profit margins,and provide decision support for the enterprise.Commonly used datamining techniques including support vector machine,naive Bayes,clustering,decision trees,neural networks and association rules,etc.Finally,datamining in e-commerce,the four major applications,indicating the presence of datamining necessity.