Mining Web Logs - An Automated Approach

被引：0
|
作者：
Sudhamathy, G. [1 ]
机构：
[1] KLN Coll Informat Technol, Dept Master Comp Applicat, Sivaganga 630611, Tamil Nadu, India
来源：
PROCEEDINGS OF THE FIRST AMRITA ACM-W CELEBRATION OF WOMEN IN COMPUTING IN INDIA (A2WIC) | 2010年
关键词：
Web Mining; Data Warehouse; Web Logs;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Web Log files need to be analyzed to identify usage and access trends and to provide useful information to web site developers and administrators so as to create adaptive web sites. In this work we propose a general automated approach towards collecting and mining useful information from web log files that follow the Extended Log File Format proposed by W3C. The novelty of this work involves proposing of optimized pre-processing, storing and mining procedures and utilization of relevant tools for pattern analysis.
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页数：4
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