期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：9
出版社：S.S. Mishra
摘要：Web usage mining refers to the automatic discovery and analysis of patterns in click stream and associated data collected or generated as a result of user interactions with web resources on one or more web sites. It consists of three phases which are data Preprocessing, pattern discovery and pattern analysis. In the pattern discovery phase, frequent pattern discovery algorithms applied on raw data. In the pattern analysis phase interesting knowledge is extracted from frequent patterns and these results are used for website modification. In this paper we are using the FP-growth algorithm for obtaining frequent access patterns from the web log data and providing valuable information about the user's interest .
关键词：Web usage Mining; FP-Growth algorithm; Apriori algorithm; Web Server log data; Pattern Discovery
