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Rough fuzzy approach for web usage mining

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

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Abstract

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.

Item Type:Article
Uncontrolled Keywords:independent component analysis, rough fuzzy, web log mining, web usage mining
Divisions:Computer Science and Information System (Formerly known)
ID Code:9034
Deposited By: Nurunnadiah Baharum
Deposited On:27 Jul 2009 03:30
Last Modified:27 Jul 2009 03:30

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