- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
The process of finding out valuable knowledge drawn out from web data is known as web mining. Identifying the various patterns and utilizing the vast knowledge extracted from those patterns is important from various perspectives such as business intelligence, e-learning, personalization etc. The web mining area which deals with extraction of patterns from user’s weblogs is called as web usage mining, which is an implementation part of data mining. This paper focuses on the working of web usage mining, data sources for web usage mining and applications of web usage mining is explained in detail in this paper. Further, we explain the issues and current challenges in web usage mining.
Due to vast extensions of the network, various websites and applications have emerged that keep the extensive amount of user information. Web usage mining helps in discovering the patterns from user’s weblogs and through that extracted information, knowledge is drawn out and used in various fields like e-commerce, online business sites etc. Studying and analyzing this information helps the designers in catering to user’s specific needs i.e. personalizing user experience and efficiently organizing the websites. Also, customer behavior patterns help in establishing business rules and based on these the organization identifies the future needs the customer may develop and their current likings .In this paper, we presented a survey on web usage mining, the processes involved, the techniques used. Further, we have discussed various issues and challenges and the future trends which are mainly related to privacy and dealing with large volumes of data.