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一种分布式Web日志挖掘系统的设计与实现
引用本文:陶剑文. 一种分布式Web日志挖掘系统的设计与实现[J]. 计算机仿真, 2006, 23(10): 109-112
作者姓名:陶剑文
作者单位:浙江工商职业技术学院计算机应用研究所,浙江,宁波,315012
摘    要:Web挖掘已从早期的理论研究逐步转向实用阶段,可以利用对Web日志的挖掘发现用户的浏览模式、分析站点的使用情况。有效的Web日志挖掘工具是Web日志挖掘应用成功的关键。针对Web日志挖掘工具存在的问题与不足,提出了一种新颖的基于移动Agent技术的分布式Web日志挖掘系统(MAWLMS)的体系结构。重点阐述了移动代理层的设计,详细说明了移动Agent挖掘算法的设计与实现,包括最大向前路径识别算法和频繁遍历路径发现算法。最后对MAWLMS系统进行了验证,实验结果显示基于MAWLMS系统的分布式Web日志挖掘是可行且有效的。

关 键 词:挖掘  移动代理  最大向前路径  序列模式识别
文章编号:1006-9348(2006)10-0109-04
收稿时间:2005-09-15
修稿时间:2005-09-15

A Distributed Web Log Mining System Based on Mobile Agent Technology
TAO Jian-wen. A Distributed Web Log Mining System Based on Mobile Agent Technology[J]. Computer Simulation, 2006, 23(10): 109-112
Authors:TAO Jian-wen
Affiliation:Computer Application Research Institute of Zhejiang Business Technology Institute, Ningbo Zhejiang 315012 ,China
Abstract:Web mining has changed from the theoretical research to the practical application. Web user's access pattern and usage status of websites can be found by mining web log on the web servers. An effective web log mining tool is a key to the success of web log mining. Based on the analysis of status and shortcomings of Web log mining tools on distributed website, the architecture of MAWLMS, a novel distributed web log mining system based on mobile agent technology is addressed and the components of it are expressed . The mobile - agent layer and its algorithms are presented, including the recognition of maximum forward paths and frequent traversal paths. Then MAWLMS is validated through the application of web log mining and the experiment result shows that MAWLMS system is feasible and effective.
Keywords:Mining   Mobile agent    Maximum forward path    Sequential pattern recognition
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