- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Classification of Web Pages by Using Particle Swarm Optimization Algorithm | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 20, Volume 10, Issue 2, 2013, Pages 95-112 PDF (646.52 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163488 | ||
| Authors | ||
| Muhammad Hamid Abdulraheem1; Ghayda A.A. Al-Talib2 | ||
| 1Computer and Internet Center, Mosul university, Iraq | ||
| 2College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Keywords: web content classification; PSO | ||
|
Statistics Article View: 270 PDF Download: 329 |
||