期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：4Ver1
出版社：Ayushmaan Technologies
摘要：Websites tend to be massive, diverse and unstructured source of data which can deliver a large amount of information. In the highly competitive web world, the success of the web service provider is highly dependent on the different perspectives of the knowledge seeker and his usage pattern. Web users provide a wealth of data in their usage patterns which can be captured passively in the web logs. These patterns can be used to discover rules which can be used to optimize the structure of the website, leading to better customer satisfaction. In this paper we propose rules to discover optimized web structure based on the user browsing patterns and finding associations among web links which are not obvious by using data mining techniques..
关键词：Web usage mining; Web structure mining; Association rule;discovery; User experience; FP growth algorithms-excel
