A survey on technique for solving web page classification problem

Siti Hawa, Apandi and Jamaludin, Sallim and Rozlina, Mohamed (2020) A survey on technique for solving web page classification problem. In: IOP Conference Series: Materials Science and Engineering, 6th International Conference on Software Engineering and Computer Systems, ICSECS 2019, 25 - 27 September 2019 , Vistana Hotel, Kuantan. pp. 1-9., 769 (1). ISSN 1757-8981 (Print), 1757-899X (Online)

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Nowadays, the number of web pages on the World Wide Web has been increasing due to the popularity of the Internet usage. The web page classification is needed in order to organize the increasing number of web pages. There are many web page classification techniques that have been proposed by the other researchers. However, there is no comprehensive survey on the performance of the techniques for the web page classification. In this paper, surveys of the different web page classification techniques with the result of the techniques achieved are presented. The existing works of web page classification are reviewed. Based on the survey, we found that the neural network technique namely Convolutional Neural Network (CNN) produce high F-measure value and meet the real-time requirement for classification compared to the other machine learning technique.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Web page classification problem; Internet usage; Machine learning technique
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computing
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 17 Nov 2022 08:01
Last Modified: 17 Nov 2022 08:01
URI: http://umpir.ump.edu.my/id/eprint/28810
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