| 结合关联规则与FCM的用户聚类改进 |
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| 引用本文： | 王琼,顾文轩,徐汀荣.结合关联规则与FCM的用户聚类改进[J].微电子学与计算机,2008,25(3):97-100. |
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| 作者姓名： | 王琼 顾文轩 徐汀荣 |
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| 作者单位： | 苏州大学,计算机科学与技术学院,江苏,苏州,215006 |
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| 摘 要： | 结合关联规则与模糊C均值聚类(Fuzzy C-Means,FCM)进行用户聚类,首先将用户访问事务集构造出页面关联矩阵,以此来计算用户浏览路径之间的相似程度,接着利用FCM算法对用户进行聚类.通过与传统聚类比较的实验证明,此方法是有效的且更符合实际.
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| 关 键 词： | 关联规则 用户聚类 FCM Web日志挖掘 模糊聚类 |
| 文章编号： | 1000-7180(2008)03-0097-03 |
| 修稿时间： | 2007年6月5日 |
Improvement on Users Clustering Combining Association Rules with FCM |
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| WANG Qiong,GU Wen-xuan,XU Ting-rong.Improvement on Users Clustering Combining Association Rules with FCM[J].Microelectronics & Computer,2008,25(3):97-100. |
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| Authors: | WANG Qiong GU Wen-xuan XU Ting-rong |
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| Abstract: | The paper performs users clustering combining association rules with FCM (Fuzzy C-Means), firstly it uses the transaction of users' accessing to construct the association matrix on pages, and calculates the similarity degree of the user access paths based on that, then it uses the FCM algorithm to perform users clustering. Lastly the experiment that is compared the method which the paper study on with the clustering in tradition shows the algorithm is effective and realistic. |
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| Keywords: | association rules users clustering FCM Web logs mining fuzzy clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
