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一种具有增量挖掘功能的Web点击流聚类算法
引用本文:李晓明,夏秀峰,张斌.一种具有增量挖掘功能的Web点击流聚类算法[J].沈阳大学学报,2010,22(3):8-10.
作者姓名:李晓明  夏秀峰  张斌
作者单位:[1]沈阳航空工业学院计算机学院,辽宁沈阳110136 [2]东北大学信息科学与工程学院,辽宁沈阳110004
摘    要:分析了典型的聚类算法及其适用范围,针对其处理Web点击流数据的不足,提出了一种用于Web点击流的增量挖掘的聚类算法WCSCluster,给出了相关定义及存储结构,并用实例说明了算法的运行过程.最后对比同类算法给出实验结果.实验结果表明该算法具有良好的性能,能够发现更优的簇.

关 键 词:Web使用挖掘  点击流  增量挖掘  聚类

An Incremental Mining Clustering Algorithm for Web Clickstreams
LI Xiaoming,XIA Xiufeng,ZHANG Bin.An Incremental Mining Clustering Algorithm for Web Clickstreams[J].Journal of Shenyang University,2010,22(3):8-10.
Authors:LI Xiaoming  XIA Xiufeng  ZHANG Bin
Institution:1.Computer School,Shenyang Institute of Aeronautical Engineering,Shenyang 110036,China;2.College of Information Science and Engineering,Northeastern University,Shenyang 110004,China)
Abstract:After analyzing the classic clustering algorithms and its confine,an incremental mining clustering algorithm which is used in Web clickstreams field called WCSCluster is proposed.Relevant definitions and storage structure are given;running procedure is shown by a specific example.Experimental results are given comparing with congener algorithms.Experimental results demonstrate that the algorithm has good performance which can find superior clusters.
Keywords:Web usage mining  clickstreams  incremental mining  clustering
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