摘要
随着Internet的迅速发展,W eb在人们的日常生活和工作中的地位日益显著。W eb日志挖掘就是通过对W eb日志记录的挖掘,发现用户访问的W eb页面的浏览模式,从而进一步分析和研究W eb日志记录中的规律,改进W eb站点的性能和组织结构,提供个性化服务。本文首先分析了W eb日志的分布和特点,再对W eb日志挖掘中的两个阶段即数据预处理和日志挖掘算法做了详细介绍,最后对W eb日志挖掘技术做了展望。
With the rapid development of Internet,Web plays an increasingly important role in people's daily life and work.Web log mining is to find browsing pattern of user accessing Web pages by mining Web log records,accordingly to analyze and research rules hidden in Web log and improve the performance and structure of web station,thus can provide personalization services.This paper firstly analyzed Web log distribution and feature,then introduced two stages of Web log mining in detail,i.e.data preprocessing and log mining algorithms,finally expected Web log mining technology.
出处
《重庆师范大学学报（自然科学版）》
CAS
2006年第4期39-44,共6页
Journal of Chongqing Normal University:Natural Science
基金
重庆师范大学科研基金(No.05XLY003)
