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Web日志挖掘在用户行为分析中的应用

Web log mining application in the analysis of user behavior

中文摘要英文摘要

Web日志挖掘是利用数据挖掘技术从用户的Web访问数据中发现有用的信息,有趣的模式,进而更好地满足各种网络应用需要。本文首先介绍了Web日志相关的理论知识,接着介绍了Web日志挖掘的处理过程。由于本文是以Web日志的处理为研究对象,本文根据一具体的网站用户访问数据,通过预处理过程得出有效的用户数据,进而对其用户行为进行深入的研究和分析。该工作可为网站的管理者对网站的管理和优化提供理论依据,通过实验证明了该工作是有效的。

Web log mining is to discover useful information and interesting patterns from the user's Web access data using data mining techniques, which can better satisfy a variety of network applications need. This paper first introduces the theory and knowledge related to Web logs , then introduce a Web log mining process. As to this article is based on Web log processing, we draw valid user data according to a specific website users' access data through the preprocessing, and then research and analyse the users behaviors. The work can provide a theoretical basis for the management and optimization of the site for site managers, experiments has showed that the work is effective

高泽华、徐永驰

计算技术、计算机技术

数据挖掘Web日志Web日志挖掘用户行为分析

data miningWeb logWeb log mininguser behavior analysis

高泽华,徐永驰.Web日志挖掘在用户行为分析中的应用[EB/OL].(2012-12-26)[2025-08-06].http://www.paper.edu.cn/releasepaper/content/201212-871.点此复制

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