期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：59
期号：3
出版社：Journal of Theoretical and Applied
摘要：Numerous users use World Wide Web (WWW) as their default resource for obtaining knowledge and many organization need to empathize their customer�s preference, behavior and future need to improve their business. Web usage mining is a part of web mining and an active research topic. The main goal is to find, model and analyze the behavioral pattern of the users. The captured patterns are represented as a collection of objects, or as pages, which are frequently used or accessed by a set of users having common interest. The primary advantages are the extraction of segmented data from server logs and discover desired usage patterns from the web. The importance of application level data can be highly distinguished from web server data via web usage mining. Enormous outstanding techniques have been developed to improve the extraction process. This paper presents a survey of recent methodologies in the field of web usage mining.
关键词：Data Mining; Web Usage Mining; Behavior Pattern; Preprocessing And Extraction Technique
