A process of knowledge discovery from web log data: Systematization and critical review

被引：0
|
作者：
Zidrina Pabarskaite
Aistis Raudys
机构：
[1] Institute of Mathematics and Informatics,
来源：
Journal of Intelligent Information Systems | 2007年 / 28卷
关键词：
Web log mining; Web usage; Personalisation; Survey; Data pre-processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a comprehensive survey of web log/usage mining based on over 100 research papers. This is the first survey dedicated exclusively to web log/usage mining. The paper identifies several web log mining sub-topics including specific ones such as data cleaning, user and session identification. Each sub-topic is explained, weaknesses and strong points are discussed and possible solutions are presented. The paper describes examples of web log mining and lists some major web log mining software packages.
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页码：79 / 104
页数：25
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