| Web日志挖掘 |
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| 引用本文： | 宋爱波,胡孔法,董逸生.Web日志挖掘[J].东南大学学报(自然科学版),2002,32(1):15-18. |
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| 作者姓名： | 宋爱波 胡孔法 董逸生 |
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| 作者单位： | 东南大学计算机科学与工程系,南京,210096 |
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| 基金项目： | 国家自然科学基金资助项目 (79970 0 92 ) |
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| 摘 要： | 提出了一种新颖的MBP算法，它利用关联规则挖掘发现的频繁项目集以加快速度，能找出所有满足阀值约束的频繁浏览路径，该算法是有很效的，同时，针对Web浏览和日志文件固有的模糊性和不确定性，还讲座了Web面面的模糊聚类问题，最后，对发现的知识讨论了其在推荐系统及自适应Web站点中的应用并给出了相应算法。
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| 关 键 词： | Web日志 数据挖掘 模糊聚类 推荐系统 自适应Web站点 MBP算法 规则挖掘 |
| 文章编号： | 1001-0505(2002)01-0015-04 |
Research on Weblog mining |
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| Song Aibo,Hu Kongfa,Dong Yisheng.Research on Weblog mining[J].Journal of Southeast University(Natural Science Edition),2002,32(1):15-18. |
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| Authors: | Song Aibo Hu Kongfa Dong Yisheng |
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| Abstract: | Similar customer groups, relevant Web pages, and frequent access paths can be discovered by mining Weblog files. In this paper, based on a survey of current Web mining research, a novel algorithm MBP is presented. It uses frequent items found during association rules mining. MBP can find all frequent access paths meeting threshold constraint. Experiment shows that MBP algorithm is very effective. At the same time, due to the inherent fuzziness and uncertainty in Web browsing and logging, fuzzy clustering for Web pages is also discussed. Finally a discussion concerning the use of discovered knowledge in recommendation system and adaptive Web site as well as some algorithm methods are also given. |
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| Keywords: | Weblog data mining fuzzy cluster recommendation system adaptive Web site |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
