计算机应用与软件Issue(2)：283-286,4.DOI:10.3969/j.issn.1000-386x.2014.02.076
基于用户特性的Web会话模式聚类算法
A CLUSTERING ALGORITHM FOR WEB SESSION PATTERN BASED ON USERS’CHARACTERISTICS
摘要
Abstract
The Web users’clustering is to group the users with same or similar surfing behaviour into one class by analysing their ses-sions.In this paper,two factors of browsing time on webpage and visiting frequency are synthetically considered in sessions’similarity met-ric.In addition,the influence of other factors such as personal habit and ability on browsing time has also been taken into account.Browsing time is processed as RDP browsing time so as to reduce its personality characteristics.Therefore,we propose a personality characteristics-based RDPk-means clustering algorithm.Experiments show that this algorithm is effective in realising users’sessions clustering,the cluste-ring results are objective and reasonable.关键词
Web挖掘/Web用户聚类/聚类算法/模式聚类/k-meansKey words
Web mining/Web users’clustering/Clustering algorithm/Pattern clustering k-means分类
信息技术与安全科学引用本文复制引用
郑富兰,吴瑞..基于用户特性的Web会话模式聚类算法[J].计算机应用与软件,2014,(2):283-286,4.基金项目
国家自然科学基金项目（70802043）；山西省自然科学基金项目（2008011029-2）。 （）
