摘要
通过点击流分析用户对一个网站最可能的浏览路径,这样可以达到预测目的,进而辅助商务决策.本文提出将数据挖掘技术应用于点击流分析,采用第一阶马尔可夫链模型,通过对点击流串化处理计算点击流的状态转移矩阵,以期为商务网站更好地掌握市场动态提供良好的支持.
This paper describes an analytical model to get the most preferable browsing paths of a web site through analysis of its clicks.Such model can predict behaviors of the web’s customers to help make the commercial decisions.The model applies data mining in the analysis of web clicksstream,and serializes the clickstream to get their status transition Matrix through the first order Markov chain model.The objective of this paper is to provide support for commercial websites to understand the dynamic demand of th...
出处
《西南民族大学学报(自然科学版)》
CAS
2007年第1期174-177,共4页
Journal of Southwest Minzu University(Natural Science Edition)