Analysis of Web Logs and Web User in Web Mining
Databases
2011-02-01 v1
Abstract
Log files contain information about User Name, IP Address, Time Stamp, Access Request, number of Bytes Transferred, Result Status, URL that Referred and User Agent. The log files are maintained by the web servers. By analysing these log files gives a neat idea about the user. This paper gives a detailed discussion about these log files, their formats, their creation, access procedures, their uses, various algorithms used and the additional parameters that can be used in the log files which in turn gives way to an effective mining. It also provides the idea of creating an extended log file and learning the user behaviour.
Keywords
Cite
@article{arxiv.1101.5668,
title = {Analysis of Web Logs and Web User in Web Mining},
author = {L. K. Joshila Grace and V. Maheswari and Dhinaharan Nagamalai},
journal= {arXiv preprint arXiv:1101.5668},
year = {2011}
}
Comments
12 pages,6 figures,CCSIT 2011