Self-organizing map based web pages clustering using web logs
نویسندگان
چکیده
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper, we introduce a Self-Organizing Map (SOM) based approach to mining Web log data. The SOM network maps the web pages into a two-dimensional map based on the users’ browsing history. Web pages with the similar browsing patterns are clustered together. Together with associate rules, the cluster generated by the SOM network has significant meaning to web browsing behavior. The experimental results demonstrate the feasibility and the effectiveness of this approach.
منابع مشابه
Web page clustering using a self-organizing map of user navigation patterns
The continuous growth in the size and use of the Internet is creating difficulties in the search for information. A sophisticated method to organize the layout of the information and assist user navigation is therefore particularly important. In this paper, we evaluate the feasibility of using a self-organizing map (SOM) to mine web log data and provide a visual tool to assist user navigation. ...
متن کاملUsage Guided Clustering of Web Pages with the Median Self Organizing Map
Web Usage Mining aims at improving Web sites thanks to the analysis of the behavior of their users. This paper proposes to cluster web pages of a web site thanks to usage data. In big web sites, clustering individual pages is not possible, therefore the proposed method is based on a prior clustering of pages that uses semantic information about the site, such as its organization on the server. ...
متن کاملWeb Page Access Prediction Using Fuzzy Clustering by Local Approximation Memberships (flame) Algorithm
Web page prediction is a technique of web usage mining used to predict the next set of web pages that a user may visit based on the knowledge of previously visited web pages. The World Wide Web (WWW) is a popular and interactive medium for publishing the information. While browsing the web, users are visiting many unwanted pages instead of targeted page. The web usage mining techniques are used...
متن کاملتشخیص ناهنجاری روی وب از طریق ایجاد پروفایل کاربرد دسترسی
Due to increasing in cyber-attacks, the need for web servers attack detection technique has drawn attentions today. Unfortunately, many available security solutions are inefficient in identifying web-based attacks. The main aim of this study is to detect abnormal web navigations based on web usage profiles. In this paper, comparing scrolling behavior of a normal user with an attacker, and simu...
متن کاملS2WC2, a User Centric Web Usage Mining icwit_09
Unlike many works in Web Usage Mining, which took as object of study logs recorded by Web servers; we develop in this paper a different approach, qualified as usercentric, judged more accurate and effective. To do so, we develop first a client side tool, in order to collect the user navigation traces. Based on Browser Helper Object, this tool has several advantages as the lightness, the simple ...
متن کامل