A survey on technique for solving web page classification problem
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 oth...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IOP Publishing
2020
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/28810/ http://umpir.ump.edu.my/id/eprint/28810/1/A%20survey%20on%20technique%20for%20solving%20web%20page.pdf |
| _version_ | 1848823140848762880 |
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| author | Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed |
| author_facet | Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed |
| author_sort | Siti Hawa, Apandi |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T02:52:24Z |
| format | Conference or Workshop Item |
| id | ump-28810 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:52:24Z |
| publishDate | 2020 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-288102022-11-17T08:01:57Z http://umpir.ump.edu.my/id/eprint/28810/ A survey on technique for solving web page classification problem Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering 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. IOP Publishing 2020-06-05 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/28810/1/A%20survey%20on%20technique%20for%20solving%20web%20page.pdf 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) (Published) https://doi.org/10.1088/1757-899X/769/1/012036 |
| spellingShingle | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed A survey on technique for solving web page classification problem |
| title | A survey on technique for solving web page classification problem |
| title_full | A survey on technique for solving web page classification problem |
| title_fullStr | A survey on technique for solving web page classification problem |
| title_full_unstemmed | A survey on technique for solving web page classification problem |
| title_short | A survey on technique for solving web page classification problem |
| title_sort | survey on technique for solving web page classification problem |
| topic | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/28810/ http://umpir.ump.edu.my/id/eprint/28810/ http://umpir.ump.edu.my/id/eprint/28810/1/A%20survey%20on%20technique%20for%20solving%20web%20page.pdf |