Ant colony algorithm for web page classification

Citation

Moayed, Majid Javid and Sabery, A. Hamid and Khanteymoory, Alireza (2008) Ant colony algorithm for web page classification. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. .

Abstract

As the information contained in the web is increasing, organizing this information is a necessary requirement. Classification is a way to organize the web's information. While there is different ways to classify the web information, swarm intelligence is a new one in this field. This paper investigates usage of a swarm intelligence algorithm in the field of the web page classification; Focusing on Persian web pages. Ant Miner II is the used algorithm. It also propose a simple text preprocessing technique to reduce the large numbers of attributes associated with web content mining, without dealing linguistic complications. The result shows Ant Miner II and proposed preprocessing technique are efficiency in the field of the web page classification.

Download File

Text (Abstract)
Ant colony algorithm for web page classification.pdf
Download (33kB)

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ITSIM.2008.4631993
Publisher:	IEEE
Keywords:	Ant colony algorithm; Web page classification
Depositing User:	Nabilah Mustapa
Date Deposited:	10 Aug 2020 02:25
Last Modified:	10 Aug 2020 02:25
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ITSIM.2008.4631993
URI:	http://psasir.upm.edu.my/id/eprint/44296
Statistic Details:	View Download Statistic

Actions (login required)

View Item