Analysis of web mining types and weblogs

Kamalakkannan, S and Prasanna, S. (2014) Analysis of web mining types and weblogs. International Journal of Applied Engineering Research, 9 (27). ISSN 0973-4562

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Abstract

The main purpose of this paper is to analysis
of Web mining types and Weblogs. Web mining is the
Data Mining technique that automatically discovers or
extracts the information from web documents. It is the
extraction of interesting and potentially useful patterns
and implicit information from artifacts or activity
related to the World Wide Web. Web mining can be
classified into web content mining, web structure
mining, and web usage mining. 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
analyzing these log files gives a neat idea about the user.
This paper gives a detailed discussion about these log
files.

Item Type: Article
Subjects: Computer Science Engineering > Data Mining
Domains: Computer Applications
Depositing User: Mr Sureshkumar A
Date Deposited: 28 Dec 2025 12:05
Last Modified: 28 Dec 2025 12:05
URI: https://ir.vistas.ac.in/id/eprint/12118

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