| Semantic Session Analysis for Web Usage Mining |
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| 作者姓名： | ZHANG Hui SONG Hantao XU Xiaomei |
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| 作者单位： | Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, China |
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| 基金项目： | Supported by the Huo Yingdong Education Foundation of China（91101） |
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| 摘 要： |
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| 关 键 词： | 网络数据挖掘 语义分析 Markov链 计算机技术 |
| 文章编号： | 1007-1202（2007）05-0773-04 |
| 收稿时间： | 20 January 2007 |
| 修稿时间： | 2007-01-20 |
Semantic session analysis for Web usage mining |
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| ZHANG Hui SONG Hantao XU Xiaomei.Semantic Session Analysis for Web Usage Mining[J].Wuhan University Journal of Natural Sciences,2007,12(5):773-776. |
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| Authors: | Zhang Hui Song Hantao Xu Xiaomei |
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| Institution: | (1) Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China |
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| Abstract: | A semantic session analysis method partitioning Web usage logs is presented. Semantic Web usage log preparation model enhances usage logs with semantic. The Markov chain model based on ontology semantic measurement is used to identifying which active session a request should belong to. The competitive method is applied to determine the end of the sessions. Compared with other algorithms, more successful sessions are additionally detected by semantic outlier analysis. |
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| Keywords: | Web usage mining Web log preparation session analysis |
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