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Reseach Article

Sequential Pattern Discovery from Web Log Data

by Rajashree Shettar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 8
Year of Publication: 2012
Authors: Rajashree Shettar
10.5120/5711-7766

Rajashree Shettar . Sequential Pattern Discovery from Web Log Data. International Journal of Computer Applications. 42, 8 ( March 2012), 8-11. DOI=10.5120/5711-7766

@article{ 10.5120/5711-7766,
author = { Rajashree Shettar },
title = { Sequential Pattern Discovery from Web Log Data },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 8 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number8/5711-7766/ },
doi = { 10.5120/5711-7766 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:30:46.408707+05:30
%A Rajashree Shettar
%T Sequential Pattern Discovery from Web Log Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 8
%P 8-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Pattern mining from the web log data leads to discovery of usage patterns of the user who navigate the web. Patterns which appear frequently in the web log data are item-sets and sequences. In this paper, a novel algorithm Intelligent Generalized Sequential pattern (IGSP) is designed which shows better results than the Generalized Sequential Pattern (GSP) algorithm. Experiment is conducted with respect to running time and number of patterns discovered from the log data and results has shown that IGSP outperforms the well-known algorithms (GSP) algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Usage Mining Sequential Patterns Web Log