Rough fuzzy approach for web usage mining
Web usage mining is a new subfield of data mining research. It aims at discovery of trends and regularities in web users' access patterns. In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial are...
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| Format: | Article |
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WSEAS Press
2006
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| Online Access: | http://eprints.utm.my/9034/ https://www.scopus.com |
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| _version_ | 1845472105352658944 |
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| author | Chimphlee, Siriporn Salim, Naomie Ngadiman, Mohd Salihin Chimphlee, Witcha Srinoy, Surat |
| author_facet | Chimphlee, Siriporn Salim, Naomie Ngadiman, Mohd Salihin Chimphlee, Witcha Srinoy, Surat |
| author_sort | Chimphlee, Siriporn |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Web usage mining is a new subfield of data mining research. It aims at discovery of trends and regularities in web users' access patterns. In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. A challenge in web classification is how to deal with the high dimensionality of the feature space. This paper applies the concept of rough fuzzy approach for classification in web usage mining tasks after we present Independent Component Analysis (ICA) for feature. Clustering is an important part of web mining that involves finding natural groupings of web resources or web users. |
| format | Article |
| id | my.utm.eprints-9034 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2006 |
| publisher | WSEAS Press |
| record_format | eprints |
| spelling | my.utm.eprints-90342018-11-29T07:34:34Z http://eprints.utm.my/9034/ Rough fuzzy approach for web usage mining Chimphlee, Siriporn Salim, Naomie Ngadiman, Mohd Salihin Chimphlee, Witcha Srinoy, Surat QA75 Electronic computers. Computer science Web usage mining is a new subfield of data mining research. It aims at discovery of trends and regularities in web users' access patterns. In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. A challenge in web classification is how to deal with the high dimensionality of the feature space. This paper applies the concept of rough fuzzy approach for classification in web usage mining tasks after we present Independent Component Analysis (ICA) for feature. Clustering is an important part of web mining that involves finding natural groupings of web resources or web users. WSEAS Press 2006 Article PeerReviewed Chimphlee, Siriporn and Salim, Naomie and Ngadiman, Mohd Salihin and Chimphlee, Witcha and Srinoy, Surat (2006) Rough fuzzy approach for web usage mining. WSEAS Transactions on Information Science and Applications, 3 (3). pp. 618-621. ISSN 1790-0832 https://www.scopus.com |
| spellingShingle | QA75 Electronic computers. Computer science Chimphlee, Siriporn Salim, Naomie Ngadiman, Mohd Salihin Chimphlee, Witcha Srinoy, Surat Rough fuzzy approach for web usage mining |
| title | Rough fuzzy approach for web usage mining |
| title_full | Rough fuzzy approach for web usage mining |
| title_fullStr | Rough fuzzy approach for web usage mining |
| title_full_unstemmed | Rough fuzzy approach for web usage mining |
| title_short | Rough fuzzy approach for web usage mining |
| title_sort | rough fuzzy approach for web usage mining |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/9034/ https://www.scopus.com |
| url_provider | http://eprints.utm.my/ |