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Web Mining Techniques to Block Spam Web Sites

by Esraa M. EL-Mohdy, A. F. El-Gamal, Hanan E. Abdelkader
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 8
Year of Publication: 2018
Authors: Esraa M. EL-Mohdy, A. F. El-Gamal, Hanan E. Abdelkader
10.5120/ijca2018917622

Esraa M. EL-Mohdy, A. F. El-Gamal, Hanan E. Abdelkader . Web Mining Techniques to Block Spam Web Sites. International Journal of Computer Applications. 181, 8 ( Aug 2018), 36-42. DOI=10.5120/ijca2018917622

@article{ 10.5120/ijca2018917622,
author = { Esraa M. EL-Mohdy, A. F. El-Gamal, Hanan E. Abdelkader },
title = { Web Mining Techniques to Block Spam Web Sites },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2018 },
volume = { 181 },
number = { 8 },
month = { Aug },
year = { 2018 },
issn = { 0975-8887 },
pages = { 36-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number8/29794-2018917622/ },
doi = { 10.5120/ijca2018917622 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:05:25.383010+05:30
%A Esraa M. EL-Mohdy
%A A. F. El-Gamal
%A Hanan E. Abdelkader
%T Web Mining Techniques to Block Spam Web Sites
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 8
%P 36-42
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is to introduce a system based on web mining techniques to prevent spamming web pages. The system relies on content analysis, used features are Uniform Resource Locator(URL), Number of words in page Title, Globally Popular Keywords(GPK) and N-GRAM. The proposed system used Decision Tree(DT) rules ; which is the best classifier to detect Web spam content. It produces accuracy of .97 % in detecting spam web sites.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Mining Spam Web Sites Decision Tree.

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