Customizable Web Log Mining from Web Server Log
Web Log File , Web Usage Mining, Web servers, Web Log mining data.
Web Log file contain information about User Name, IP
Address, Time Stamp, Access Request, number of Bytes
transferred, Result Status, URL that Referred and User Agent as
per user requirements. The log files are maintained by the web
servers. By analyzing these log files gives a neat idea about the
user behavior. 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. So the user can identify and analyze meaningful data. It
also provides the idea of creating an extended log file and learning
the user[1]
.
Volume 1 Issue 2
Pages. 103 - 107