| Similarity Measurement of Web Sessions Based on Sequence Alignment |
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| 引用本文： | LI Chaofeng LU Yansheng. Similarity Measurement of Web Sessions Based on Sequence Alignment[J]. 武汉大学学报:自然科学英文版, 2007, 12(5): 814-818. DOI: 10.1007/s11859-007-0048-2 |
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| 作者姓名： | LI Chaofeng LU Yansheng |
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| 作者单位： | [1]College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China [2]College of Management, South-Central University for Nationalities, Wuhan 430074, Hubei,China |
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| 基金项目： | Supported by the Foundation of Hubei Key Technology Research and Development（2005AA 101C 18） and the Natural Science Foundation of South-Central University for Nationalities（YZY06009） |
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| 摘 要： | ![]()
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| 关 键 词： | 网络数据挖掘 聚类 网络会议 序列 |
| 文章编号： | 1007-1202（2007）05-0814-05 |
| 收稿时间： | 2007-03-10 |
| 修稿时间： | 2007-03-10 |
Similarity measurement of Web sessions based on sequence alignment |
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| Li Chaofeng,Lu Yansheng. Similarity measurement of Web sessions based on sequence alignment[J]. Wuhan University Journal of Natural Sciences, 2007, 12(5): 814-818. DOI: 10.1007/s11859-007-0048-2 |
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| Authors: | Li Chaofeng Lu Yansheng |
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| Affiliation: | (1) College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China;(2) College of Management, South-Central University for Nationalities, Wuhan, 430074, Hubei, China |
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| Abstract: | ![]()
The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra-group similarity while minimizing the inter-group similarity. The first and foremost question needed to be considered in clustering Web sessions is how to measure the similarity between Web sessions. However, there are many shortcomings in traditional measurements. This paper introduces a new method for measuring similarities between Web pages that takes into account not only the URL but also the viewing time of the visited Web page. Then we give a new method to measure the similarity of Web sessions using sequence alignment and the similarity of Web page access in detail Experiments have proved that our method is valid and efficient. |
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| Keywords: | Web usage mining clustering Web session sequence alignment |
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