文章基本信息

标题：Identifying the User Access Pattern in Web Log Data
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作者：Neetu Anand ; Saba Hilal
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：2
页码：3536-3539
出版社：TechScience Publications
摘要：Web Usage Mining (WUM) is the research area combining both data mining and WWW.The users’ accesses to Web sites are stored in Web server logs. Theobjective behind WUM is to analyse web log files for extracting usage patterns. The web log files contain the raw data that need to be preprocessed first for discovering knowledge. Mining techniques are then applied for clustering users, to identify frequent item set, for classification of users and association rule mining.This paper present an approach to identify user access pattern from web log data .In the first phase ,the server raw log data is preprocessed. In second phase analysis is performed to identify access pattern of users.