ENTROPY BASED BROADBAND USER SERVICE BEHAVIOR ANALYSIS

摘要：

With the rapid development of Internet, network user behavior analysis is getting more and more attention. In this paper, an algorithm combining entropy concept and clustering method is proposed to analyze current broadband users usage modes of network services, providing a strong support for further analysis or commercial applications. This algorithm can complete the process of division or clustering automatically , without requiring user to input any parameters associated with clustering. And it also can adapt to data set with different shape and size. Experiments have shown promising results when applying this algorithm to classify network users.

关键词： user behavior analysis service behavior entropy cluster

作者: Yinan Dou Peng Liu Yiming Chen Zhenming Lei

作者单位: School of Information and Communication Engineering Beijing University of Posts and Telecommunications, Beijing

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

会议地点: 北京

会议语种:英文

页码: 440-445

在线出版日期: 2009-11-06（万方平台首次上网日期，不代表论文的发表时间）