%0 Journal Article
%T Combining Web usage and content mining to improve transaction identification<br>结合内容挖掘的事务识别改进
%A SU Jing
%A PAN Lei
%A XU Ting-rong
%A <br>苏晶
%A 潘蕾
%A 徐汀荣
%J 计算机应用
%D 2006
%I 
%X For the traditional methods of transaction identification couldn't properly meet the need of pattern identification,a novel improved one aiming at overcoming these drawbacks was proposed.The new algorithm which combines content data of web pages,and applies document clustering algorithm in this process,could not only take the user browsing manners and tendency of information needs into account,but also avoid the influence of outside factor such as buffer and network latency.As a result,the algorithm after improvement could acquire user's browsing pattern more exactly.
%K Web log mining
%K transaction identification
%K data preprocessing
%K document clustering<br>Web日志挖掘
%K 事务识别
%K 数据预处理
%K 文本聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=970E65F710B205F1&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=0F1312EB98113CF7&eid=8FB078CA6698CB38&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6