标题：A Proposed Method to Personalize and Extract the Hidden Knowledge Through Web Usage Mining and Pattern Discovery Using Web Usage Mining and Pattern Recovery
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：9
页码：7534-7542
DOI：10.15680/IJIRCCE.2018. 0609009
出版社：S&S Publications
摘要：Web mining is the application of data mining on web data and web usage mining is an important
component of web mining. The goal of web usage mining is to understand the behaviour of web site users through the
process of data mining of web data and Web usage mining is to understand the behaviour of web site users through the
process of data mining of web Access data. In this paper, we have initiated an approach to acquire knowledge through
google. The methods applied in this paper are web usage mining through which we have enhanced web design;
introduce personalization service and facilitate more effective browsing the important an application of web mining by
extracting the hidden knowledge in the log files of a web server and recognizing various interests of web users. Our
novel approach will help in discovering customer behaviour, which is a newly proposed approach of web usage mining.
In this paper, we provide an updated focused survey on different pattern discovery techniques of web usage mining.
