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一种Web流频繁模式挖掘算法*

, PP. 757-762

Keywords: Web挖掘,Web使用挖掘,Web访问模式

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Abstract:

基于自顶向下的投影挖掘策略,提出一种无需多遍扫描数据库的Web访问模式算法TAMWAP.其特点是用当前所挖掘数据的特征去驱动一个预测算法,根据预测结果,有选择性地生成中间数据.对多种实际数据和模拟数据的实验表明,本文算法优于传统算法.

References

[1]  Han Jiawei, Meng Xiaofeng, Wang Jing, et al. Research on Web Mining: A Survey. Journal of Computer Research and Development, 2001, 38(4): 405414 (in Chinese) (韩家炜,孟小峰,王 静,等.Web挖掘研究.计算机研究与发展, 2001, 38(4): 405414)
[2]  Srivastava J, Cooley R, Deshpande M, et al. Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explorations, 2000, 1(2): 1223
[3]  Yang Yizhen, Guan Xudong, You Jinyuan. Mining the Page Clustering Based on Web Page and the Site Topology. Journal of Software, 2002, 13(3): 467469 (in Chinese) (杨怡珍,管旭东,尤晋元.基于页面内容和站点结构的页面聚类挖掘算法.软件学报, 2002, 13(3): 467469)
[4]  Agrawal R, Srikant R. Mining Sequential Patterns // Proc of the 11th International Conference on Data Engineering. Taipei, China, 1995: 314
[5]  Srikant R, Agrawal R. Mining Sequential Patterns: Generalizations and Performance Improvements // Proc of the 5th International Conference on Extending Database Technology. Avignon, France, 1996: 317
[6]  Mohammed T Z. SPADE: An Efficient Algorithm for Mining Frequent Sequence. Machine Learning, 2001, 42(1/2): 3160
[7]  Pei Jian, Han Jiawei, MortazaviAsl B, et al. PrefixSpan: Mining Sequential Patterns by PrefixProjected Growth // Proc of the 12th International Conference on Data Engineering. Los Alamitos, USA, 2001: 215224
[8]  Yan Xifeng, Han Jiawei, Afshar R. CloSpan: Mining Closed Sequential Patterns in Large Datasets // Proc of the SIAM International Conference on Data Mining. San Francisco, USA, 2003: 166177
[9]  Han Jiawei, Pei Jian, Yan Xifeng. Sequential Pattern Mining by PatternGrowth: Principles and Extensions. Studies in Fuzziness and Soft Computing, 2005, 180: 183220
[10]  Pei Jian, Han Jiawei, Mortazaviasl B, et al. Mining Access Patterns Efficiently from Web Logs // Proc of the PacificAsia Conference on Knowledge Discovery and Data Mining. Kyoto, Japan, 2000: 396407
[11]  Madria S K, Bhowmick S S, Ng W K, et al. Research Issues in Web Data Mining // Proc of the 1st International Conference on Data Warehousing and Knowledge Discovery. Florence, Italy, 1999: 303312

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