Classification of Web Pages by Using Particle Swarm Optimization Algorithm

Classification of Web Pages by Using Particle Swarm Optimization Algorithm

As the amount of information available on the internet grows so does the need for more effective data analysis methods. This paper utilizes the particle swarm optimization (PSO) algorithm in the field of web content classification, and used part of speech tagging algorithm to reduce the large number...

Full description

Bibliographic Details
Main Authors: Muhammad Abdulraheem, Ghayda Al-Talib
Format: Article
Language:Arabic
Published: Mosul University 2013-07-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
keywords: web content classification
pso
Online Access:https://csmj.mosuljournals.com/article_163488_36724da42fcba69edabaa7f9fc90a670.pdf
id doaj-a27a1c797fb7486e8650682c02801ed8
record_format Article
spelling doaj-a27a1c797fb7486e8650682c02801ed82020-11-25T04:06:50ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics 1815-48162311-79902013-07-011029511210.33899/csmj.2013.163488163488Classification of Web Pages by Using Particle Swarm Optimization AlgorithmMuhammad Abdulraheem0Ghayda Al-Talib1Computer and Internet Center, Mosul university, IraqCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqAs the amount of information available on the internet grows so does the need for more effective data analysis methods. This paper utilizes the particle swarm optimization (PSO) algorithm in the field of web content classification, and used part of speech tagging algorithm to reduce the large numbers of attributes associated with web content mining. The proposed algorithm gave a good classification accuracy, which comparable to the accuracy of Ant-miner algorithm and acquire less training time.https://csmj.mosuljournals.com/article_163488_36724da42fcba69edabaa7f9fc90a670.pdfkeywords: web content classificationpso
collection DOAJ
language Arabic
format Article
sources DOAJ
author Muhammad Abdulraheem
Ghayda Al-Talib
spellingShingle Muhammad Abdulraheem
Ghayda Al-Talib
Classification of Web Pages by Using Particle Swarm Optimization Algorithm
Al-Rafidain Journal of Computer Sciences and Mathematics
keywords: web content classification
pso
author_facet Muhammad Abdulraheem
Ghayda Al-Talib
author_sort Muhammad Abdulraheem
title Classification of Web Pages by Using Particle Swarm Optimization Algorithm
title_short Classification of Web Pages by Using Particle Swarm Optimization Algorithm
title_full Classification of Web Pages by Using Particle Swarm Optimization Algorithm
title_fullStr Classification of Web Pages by Using Particle Swarm Optimization Algorithm
title_full_unstemmed Classification of Web Pages by Using Particle Swarm Optimization Algorithm
title_sort classification of web pages by using particle swarm optimization algorithm
publisher Mosul University
series Al-Rafidain Journal of Computer Sciences and Mathematics
issn 1815-4816
2311-7990
publishDate 2013-07-01
description As the amount of information available on the internet grows so does the need for more effective data analysis methods. This paper utilizes the particle swarm optimization (PSO) algorithm in the field of web content classification, and used part of speech tagging algorithm to reduce the large numbers of attributes associated with web content mining. The proposed algorithm gave a good classification accuracy, which comparable to the accuracy of Ant-miner algorithm and acquire less training time.
topic keywords: web content classification
pso
url https://csmj.mosuljournals.com/article_163488_36724da42fcba69edabaa7f9fc90a670.pdf
work_keys_str_mv AT muhammadabdulraheem classificationofwebpagesbyusingparticleswarmoptimizationalgorithm
AT ghaydaaltalib classificationofwebpagesbyusingparticleswarmoptimizationalgorithm
_version_ 1724430549341175808

Similar Items