Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Web Log Files in Web Usage Mining Research –A Review

Author : Dr. S.Vijayarani 1 E. Suganya 2 M. Prakathambal 3

Date of Publication :16th February 2018

Abstract: The World Wide Web has a vast amount of information resources and services. Every website is comprised of a number of web pages. Whenever, a user access the websites, the server saved this information in web log files which is a plain text (.txt) file. Web log files contain unnecessary and noisy data. It can be preprocessed using web mining techniques. Data preprocessing is the process of selecting standardized data from the original log files. Data cleaning, user identification, session identification and path completion are different stages of data preprocessing. Log files contain the information about the users like user name, visiting path, the path traversed, time stamp, page last visited, success rate, user agent and URL. The log files are stored in different locations like web server, web proxy server and the client browser. This paper has provided a detailed review of web log files; i.e. concepts of web server data, application server data, application level data, web server logs, log file parameter, types of log file format, various locations of web log files and the different types of web log files. In addition to this, we also surveyed the existing research works and given the information about how web log files are used in web usage mining research.

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