Today world's dependence on the Internet and the emerging of Web 2.0 applications is significantly increasing the requirement of web robots crawling the sites to support services and technologies. Regardless of the advantages of robots, they may occupy the bandwidth and reduce the performance of web servers. Despite a variety of researches, there is no accurate method for classifying huge data ...

Web usage mining: automatic discovery of patterns in clickstreams and associated data collected or generated as a result of user interactions with one or more Web sites. This paper describes web usage mining for our college log files to analyze the behavioral patterns and profiles of users interacting with a Web site. The discovered patterns are represented as clusters that are frequently acces...

Clustering is one of the important part in web usage miningfor the purpose of segmenting visitors. This action is very important for web personalization orweb modification. In this paper, we perform clustering of the web visitors using a combination of methods of hierarchical and non-hierarchical clustering toward web log data. Hierarchical clustering method used to determine the number of clus...

Analysis of web visitors access patterns can lead to benefits in a wide range of areas such as decision support and website restructuring. Data mining techniques can be used to find access patterns hidden inside huge volumes of web access data. The goal of this thesis is to determine whether there are any such patterns in the web access data for the computer science website of RMIT university. ...

As the World Wide Web matures, it makes leaps forward in both size and complexity. Navigating through a large Web site can become a frustrating exercise. Many sites employ Site Maps to help visitors understand the overall structure of the site. However, static Site Maps show all visitors large amounts of irrelevant content. It is very easy for visitors to get lost in hyperspace. Therefore we pr...

With the expansion of e-commerce and mobile-based commerce, the role of web user on World Wide Web has become pivotal enough to warrant studies to further understand the user’s intent, navigation patterns on websites and usage needs. Using web logs on the servers hosting websites, site owners and in turn companies, can extract information to better understand and predict user’s needs, tailoring...

We discuss the design and evaluation of a class of agents that we call adaptive web site agents. The goal of such an agent is to help a user find information at a particular web site, adapting its behavior in response to the actions of the individual user and the actions of other visitors to the web site. The agent recommends related documents to visitors. It integrates and coordinates among di...