%0 Journal Article
%T An Algorithm for Path Mining of Web Log Based on Concept Lattice<br>基于概念格的Web日志路径挖掘算法
%A YANG Fei
%A <br>杨飞
%J 计算机科学
%D 2004
%I 
%X Path Mining is used to discover the regularities when Web users browse and select Web pages along hyperlinks. The perfect structure of Web log make Web mining easier and more efficient. Concept lattice,induced from a binary relation between objects and features, is a very useful formal tool and has been used in many fields. It realizes the unification of concept intension and concept extension, represents the association between objects and features, and reflects the relationship of generalization and the specialization among concepts, so it is fit for discovering the potential information of the data- In this paper, based on the Concept lattice, an algorithm of Web log path mining is presented. And the related analysis and expectation are given.
%K Web mining
%K Web log mining
%K Association rules
%K Path mining
%K Concept lattice<br>事务数据库
%K 关联规则
%K 概念格
%K Web日志
%K 路径挖掘算法
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B0DA80752AC7AEF6&yid=D0E58B75BFD8E51C&vid=4AD960B5AD2D111A&iid=38B194292C032A66&sid=EDA22B444205D04A&eid=7555FB9CC973F695&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=12