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Differential Internet Behaviorís of Students from Gender Groups

by Rozita Jamili Oskouei
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 7
Year of Publication: 2010
Authors: Rozita Jamili Oskouei
10.5120/835-1175

Rozita Jamili Oskouei . Differential Internet Behaviorís of Students from Gender Groups. International Journal of Computer Applications. 4, 7 ( July 2010), 36-42. DOI=10.5120/835-1175

@article{ 10.5120/835-1175,
author = { Rozita Jamili Oskouei },
title = { Differential Internet Behaviorís of Students from Gender Groups },
journal = { International Journal of Computer Applications },
issue_date = { July 2010 },
volume = { 4 },
number = { 7 },
month = { July },
year = { 2010 },
issn = { 0975-8887 },
pages = { 36-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number7/835-1175/ },
doi = { 10.5120/835-1175 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:28.556160+05:30
%A Rozita Jamili Oskouei
%T Differential Internet Behaviorís of Students from Gender Groups
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 7
%P 36-42
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

World Wide Web (WWW) contains huge amount documents with various types of categories. Internet usage behaviors of users in Internet are one of the main research areas. Many Website classification schemes were present in literature based on different perspectives. For categorizing Websites based on its content, we used a classification scheme [1]. This investigation is the application of Web Usage Mining (WUM) and Education Data Mining (EDM) to differentiate students Internet usage behaviors based on their gender group.

References
Index Terms

Computer Science
Information Sciences

Keywords

WUM (Web Usage Mining) EDM (Education Data Mining) Gender Group

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