1. What are the contributions in "Ant colony algorithm for web page classification" ?
This paper investigates usage of a swarm intelligence algorithm in the field of the web page classification ; Focusing on Persian web pages.
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Ant colony algorithm for web page classification
M.J. Moayed,A.H. Sabery,A. Khanteymoory +2 more
- 26 Sep 2008
- Vol. 3, pp 1-8
TL;DR: This paper investigates usage of a swarm intelligence algorithm in the field of the web page classification; Focusing on Persian web pages, and proposes a simple text preprocessing technique to reduce the large numbers of attributes associated with web content mining, without dealing linguistic complications.
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Abstract: As the information contained in the Web is increasing, organizing this information is a necessary requirement. Classification is a way to organize the webpsilas 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.
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Citations
•Journal Article
Web page classification with an Ant Colony algorithm
TL;DR: In this article, the authors used Ant-Miner algorithm for discovering classification rules in the field of web content mining, and showed that it is more effective than C5.0 in two sets of BBC and Yahoo web pages used in their experiments.
70
Random forest classifier for multi-category classification of web pages
Win Thanda Aung,Yangon Myanmar,Khin Haymar Saw Hla +2 more
- 01 Dec 2009
TL;DR: The proposed Random Forest Classifier (RF) based on random forest method for multi-category web page classification can classify web pages efficiently according to their corresponding class without using other feature selection methods.
39
Web Page Classification using an ensemble of support vector machine classifiers
Shaobo Zhong,Dongsheng Zou +1 more
TL;DR: A novel approach for Web page classification was proposed to address this problem by using an ensemble of support vector machine classifiers to perform this work, and results indicate that the proposed approach outperforms other existing classifiers widely used in WPC.
17
Recent research in web page classification - a review
Alamelu Mangai J,Santhosh Kumar,Sugumaran +2 more
- 01 Jan 2010
TL;DR: A survey of the different approaches to web page classification, its applications and some of the associated issues are presented.
16
Organizational texts classification using artificial immune recognition systems
Nafiseh Forouzideh,Maryam Mahmoudi,Kambiz Badie +2 more
- 11 Apr 2011
TL;DR: This paper outlines the use of Artificial Immune Recognition System (AIRS) within the field of text/document classification and shows the fact that different versions of AIRS, performs better compared to multi-layer perceptron and radial basis function as simple neural approaches.
7
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TL;DR: This chapter contains sections titled: Combinatorial Optimization, The ACO Metaheuristic, How Do I Apply ACO?
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