节点文献
一种Web挖掘的框架
Framework for Web mining
【摘要】 随着Web信息量的增长,Web用户也迅速增长,如何在海量信息中找出用户需要的信息变得更加重要。基于Web服务器日志,分析在线用户的浏览行为,挖掘Web数据并找出用户的遍历模式已经成为一个新的研究领域。针对Web站点的结构,给出了一个Web挖掘的完整框架,允许在分析复杂的遍历模式时加入约束条件,然后对框架中算法的执行效率和执行准确性进行比较和分析,同时展望了Web挖掘的未来研究方向。
【Abstract】 With the rapid growing number of www users,the hidden information becomes ever increasingly valuable.As a consequence of this phenomenon,mining web data and analyzing online users’ behavior and the online traversal pattern have emerged as a new area ofresearch.Primarily basedon the web servers’ logfiles,the main objectiveof traversal pattern mining is to discover the frequent patterns in users’ browsing paths and behaviors.A complete framework for web mining is presented,allowing users to pre-define physical con-straints when the complex traversal patterns are analyzed in order to improve the efficiency of algorithms and offer flexibility in producing the results.
【Key words】 data mining; web mining; information filtering; data pre-processing;
- 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2005年08期
- 【分类号】TP393.09
- 【被引频次】11
- 【下载频次】152