A web usage mining approach based on LCS algorithm in online predicting recommendation systems
The Internet is one of the fastest growing areas of intelligence gathering. During their navigation Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Advanced mining processes are needed for this knowledge to be extracted, understood and us...
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| Format: | Article |
| Language: | English |
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IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/19054/ http://psasir.upm.edu.my/id/eprint/19054/1/A%20web%20usage%20mining%20approach%20based%20on%20LCS%20algorithm%20in%20online%20predicting%20recommendation%20systems.pdf |
| _version_ | 1848843649955135488 |
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| author | Jalali, Mehrdad Mustapha, Norwati Sulaiman, Md. Nasir Mamat, Ali |
| author_facet | Jalali, Mehrdad Mustapha, Norwati Sulaiman, Md. Nasir Mamat, Ali |
| author_sort | Jalali, Mehrdad |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The Internet is one of the fastest growing areas of intelligence gathering. During their navigation Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Advanced mining processes are needed for this knowledge to be extracted, understood and used. Web Usage Mining (WUM) systems are specifically designed to carry out this task by analyzing the data representing usage data about a particular Web site. WUM can model user behavior and, therefore, to forecast their future movements. Online prediction is one Web Usage Mining application. However, the accuracy of the prediction and classification in the current architecture of predicting users' future requests systems can not still satisfy users especially in huge Web sites. To provide online prediction efficiently, we advance an architecture for online predicting in Web Usage Mining system and propose a novel approach based on LCS algorithm for classifying user navigation patterns for predicting users' future requests. The Excremental results show that the approach can improve accuracy of classification in the architecture.
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| first_indexed | 2025-11-15T08:18:23Z |
| format | Article |
| id | upm-19054 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:18:23Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-190542015-10-20T02:06:59Z http://psasir.upm.edu.my/id/eprint/19054/ A web usage mining approach based on LCS algorithm in online predicting recommendation systems Jalali, Mehrdad Mustapha, Norwati Sulaiman, Md. Nasir Mamat, Ali The Internet is one of the fastest growing areas of intelligence gathering. During their navigation Web users leave many records of their activity. This huge amount of data can be a useful source of knowledge. Advanced mining processes are needed for this knowledge to be extracted, understood and used. Web Usage Mining (WUM) systems are specifically designed to carry out this task by analyzing the data representing usage data about a particular Web site. WUM can model user behavior and, therefore, to forecast their future movements. Online prediction is one Web Usage Mining application. However, the accuracy of the prediction and classification in the current architecture of predicting users' future requests systems can not still satisfy users especially in huge Web sites. To provide online prediction efficiently, we advance an architecture for online predicting in Web Usage Mining system and propose a novel approach based on LCS algorithm for classifying user navigation patterns for predicting users' future requests. The Excremental results show that the approach can improve accuracy of classification in the architecture. IEEE 2008 Article NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/19054/1/A%20web%20usage%20mining%20approach%20based%20on%20LCS%20algorithm%20in%20online%20predicting%20recommendation%20systems.pdf Jalali, Mehrdad and Mustapha, Norwati and Sulaiman, Md. Nasir and Mamat, Ali (2008) A web usage mining approach based on LCS algorithm in online predicting recommendation systems. Information Visualisation. 302 -307. ISSN 1550-6037 Web usage mining LCS (Information retrieval system) Data mining 10.1109/IV.2008.40 |
| spellingShingle | Web usage mining LCS (Information retrieval system) Data mining Jalali, Mehrdad Mustapha, Norwati Sulaiman, Md. Nasir Mamat, Ali A web usage mining approach based on LCS algorithm in online predicting recommendation systems |
| title | A web usage mining approach based on LCS algorithm in online predicting recommendation systems |
| title_full | A web usage mining approach based on LCS algorithm in online predicting recommendation systems |
| title_fullStr | A web usage mining approach based on LCS algorithm in online predicting recommendation systems |
| title_full_unstemmed | A web usage mining approach based on LCS algorithm in online predicting recommendation systems |
| title_short | A web usage mining approach based on LCS algorithm in online predicting recommendation systems |
| title_sort | web usage mining approach based on lcs algorithm in online predicting recommendation systems |
| topic | Web usage mining LCS (Information retrieval system) Data mining |
| url | http://psasir.upm.edu.my/id/eprint/19054/ http://psasir.upm.edu.my/id/eprint/19054/ http://psasir.upm.edu.my/id/eprint/19054/1/A%20web%20usage%20mining%20approach%20based%20on%20LCS%20algorithm%20in%20online%20predicting%20recommendation%20systems.pdf |