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Preprocessing on Web Server Log Data for Web Usage Pattern Discovery

by Ketan D. Patel, Satyen M. Parikh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 165 - Number 10
Year of Publication: 2017
Authors: Ketan D. Patel, Satyen M. Parikh
10.5120/ijca2017913978

Ketan D. Patel, Satyen M. Parikh . Preprocessing on Web Server Log Data for Web Usage Pattern Discovery. International Journal of Computer Applications. 165, 10 ( May 2017), 29-32. DOI=10.5120/ijca2017913978

@article{ 10.5120/ijca2017913978,
author = { Ketan D. Patel, Satyen M. Parikh },
title = { Preprocessing on Web Server Log Data for Web Usage Pattern Discovery },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 165 },
number = { 10 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume165/number10/27610-2017913978/ },
doi = { 10.5120/ijca2017913978 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:12:05.925678+05:30
%A Ketan D. Patel
%A Satyen M. Parikh
%T Preprocessing on Web Server Log Data for Web Usage Pattern Discovery
%J International Journal of Computer Applications
%@ 0975-8887
%V 165
%N 10
%P 29-32
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

World Wide Web has gained popularity because of the fact that it acts as an effective communication medium between business and end users. Company needs to have a web site which satisfies the intended needs of their end users. Users like to revisit a web site which is usable in nature. Web usage patterns of end users must be identified to improve usability on any web site. It is done with analyzing web server log files. Web logs contain noisy, redundant and incomplete data in huge volume which restricts to identify precise usage pattern from it. So, the effective data pre-processing techniques are required. In this paper algorithms are proposed and implemented for pre-processing tasks includes Data Cleaning, User identifications and Session Identification. Pre-processing algorithms are implemented on web log files of two websites and results of these algorithms are useful to study usage pattern of end users.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Preprocessing Web Server log data Web Usage Mining Sessions Users Data Cleaning

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