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Reseach Article

Search Engine Spam Detection using an Integrated Hybrid Genetic Algorithm based Decision Tree

by D. Saraswathi, A. Vijaya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 10
Year of Publication: 2016
Authors: D. Saraswathi, A. Vijaya
10.5120/ijca2016908027

D. Saraswathi, A. Vijaya . Search Engine Spam Detection using an Integrated Hybrid Genetic Algorithm based Decision Tree. International Journal of Computer Applications. 133, 10 ( January 2016), 20-27. DOI=10.5120/ijca2016908027

@article{ 10.5120/ijca2016908027,
author = { D. Saraswathi, A. Vijaya },
title = { Search Engine Spam Detection using an Integrated Hybrid Genetic Algorithm based Decision Tree },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 10 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 20-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number10/23822-2016908027/ },
doi = { 10.5120/ijca2016908027 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:30:48.324078+05:30
%A D. Saraswathi
%A A. Vijaya
%T Search Engine Spam Detection using an Integrated Hybrid Genetic Algorithm based Decision Tree
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 10
%P 20-27
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Search Engine spam is a poison for the search engine. It is created by the search engine spammers for commercial benefits. It affects quality of search engine. Already there are many algorithms available for filtering the search engine spam. But the spammers are often changing the strategy for creating the search engine spam. So there is a need to detect it in efficient way. The proposed system detects the search engine spam using an integrated hybrid genetic algorithm based decision tree. The proposed system is compared with different criteria and is shown the best performance than other methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Search Engine Spam Decision Tree Genetic Algorithm Tabu Search Spamdexing Feature Selection Metaheuristic Approach