Study on the Data Mining Technology Applied to Web Logs

摘要：

This paper aims at the research progresses of the web log mining technology to study the basic structure of the web-based data mining algorithm, focuses to analyze on the basis of using association rules and the clustering analysis to achieve the personalization of the web, constructs a web personalization system, and finds through the user clustering, the page clustering, and the frequent access paths, by the similarity of user groups to conduct the access forecast for web pages and the content recommendations.

关键词： Web log data mining Web personalization system

作者: Gao Xiaobo

作者单位: Department of Computer and Information Science Hechi University, Yizhou 546300, China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 127-130

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）