计算机应用研究2012，Vol.29Issue(8)：2862-2864,3.DOI:10.3969/j.issn.1001-3695.2012.08.016
基于聚类的Web用户会话识别优化方法
Optimized methodology for Web user session reconstruction based on clustering
摘要
Abstract
As the basic and critical work for user access behavior analysis, Web user session reconstruction has a decisive impact on identifying and discovering the information needs of users. Currently Web user session reconstruction is usually based on the time threshold segmentation method. But it is difficult for this method to accurately determine the time threshold for different user. This paper presented a new method for Web user session reconstruction based on clustering method. Firstly, it created an optimization model of Web user session reconstruction based on clustering, and then used an improved K-means algorithm for this model. Experimental results show that this method has better results compared with traditional methods.关键词
Web用户会话识别/K-means算法/时间阈值Key words
Web user session reconstruction/K-means algorithm/time threshold分类
信息技术与安全科学引用本文复制引用
凌海峰,余笪..基于聚类的Web用户会话识别优化方法[J].计算机应用研究,2012,29(8):2862-2864,3.基金项目
国家自然科学基金资助项目(71071047) （71071047）
高等学校博士学科点专项科研基金资助项目(20090111110016) （20090111110016）
安徽省自然科学基金资助项目(1208085MG120) （1208085MG120）
合肥工业大学博士专项基金资助项目(2010HGBZ0301) （2010HGBZ0301）
