Frequent Pattern Mining in Web Log Data

被引：0
作者：
Ivancsy, Renata [1 ]
Vajk, Istvan
机构：
[1] Budapest Univ Technol & Econ, Dept Automat & Appl Informat, Goldmann Gy Ter 3, H-1111 Budapest, Hungary
来源：
ACTA POLYTECHNICA HUNGARICA | 2006年 / 3卷 / 01期
关键词：
Pattern mining; Sequence mining; Graph Mining; Web log mining;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering hidden information from Web log data is called Web usage mining. The aim of discovering frequent patterns in Web log data is to obtain information about the navigational behavior of the users. This can be used for advertising purposes, for creating dynamic user profiles etc. In this paper three pattern mining approaches are investigated from the Web usage mining point of view. The different patterns in Web log mining are page sets, page sequences and page graphs.
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收藏
页码：77 / 90
页数：14
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