基于Web挖掘的PCWS模型研究  

PCWS Model that Web Excavates is Upgraded and Studied

作　　者：孙为[1] 邢洁清[2] SUN Wei1,XING Jie-qing1,2(1.Department of Modern Education Technology,Qiongtai Teachers College,Haiko 571100,China 2.Department of Computer Science Chongqing University,Chongqing 400044,China)

机构地区：[1]琼台师范高等专科学校信息技术系 [2]重庆大学计算机学院

出　　处：《电脑知识与技术（过刊）》2009年第6期1304-1305,1308,共3页Computer Knowledge and Technology

摘　　要： 在讨论Web日志挖掘问题的困难与现状的基础上,根据日志挖掘的特点和方法,着重提出了一种能自适应改变网站链接拓扑结构的模型:PCWS模型,它充分地利用了现有的算法,对模型中的每一部分进行了探究,描述了实现的方法。可以自适应不同的用户群,以简便用户访问网页。最后,具体介绍了利用该模型进行日志文件预处理,用户识别,会话识别,挖掘用户路径和序列模式识别的方法,并给出试验结果。目前,针对模型进行了初步的实现,效果良好,为进一步研究Web挖掘奠定了基础。On the basis of it is discussed that Web daily record excavates the difficulty of the question and current situationing,whether ac-cording to characteristic and method that daily record Data mining,propose one can self-adaptation change website chaining topological model of structure: PCWS model.It has fully utilized the existing algorithm,has probed into every part in the model,have described the algorithm realized.The users that the all right self-adaptation is different,visit the webpage with simple and convenient users.Finally,the concrete introduction utilizes this model to carry on the file pretreatment of the daily record,users discern,conversation discerns,excavate user's route and array pattern-recognition method,provide the result of the test.Now,the system has experimentally run and the result is excellent.It has reached its goal of experiment and study,which establish bases to the further research of web mining.

关 键 词：数据挖掘 WEB日志挖掘 自适应WEB站点 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]