Analysis of Web Logs and Web User in Web Mining

TL;DR

This paper discusses the structure, analysis, and potential uses of web server log files to understand user behavior, proposing methods for creating extended logs and mining user patterns.

Contribution

It provides a comprehensive overview of log file formats, creation, access, and algorithms, along with ideas for enhancing logs to improve web user analysis.

Findings

Detailed analysis of log file components

Proposed methods for extended log creation

Insights into user behavior mining

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.