Consumers’ Behavior on Web Based on Data Mining

摘要：

With the advance of the process of information, the need that how the business website extracts the valuable information from the huge amounts of data highlights. By data mining technology we can automatically analyze data, make inductive reasoning, excavate characteristics and classification of web users’ consumption behaviors, quantify web consumption tendency and evaluation in order to effectively grasp the web users’ consumption expectations and value orientation to provide users with better personalized services for the competitiveness of e-commerce businesses.

关键词： data mining network consumption behavior genetic algorithm

作者: GE Yan

作者单位: School of Business Administration Shandong University of Finance Ji’nan 250014 China

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Computer Science and Information Technology(第二届计算机科学与信息技术国际会议 ICCSIT2009)

会议地点: 北京

会议语种:英文

页码: 43-46

在线出版日期: 2009-08-08（万方平台首次上网日期，不代表论文的发表时间）