We present our two separate tools for data protection measurement and evaluation of websites. The rst tool does a generic check on a single website and is openly available for any web user to use when evaluating data protection measures implemented on a website. The second tool was used to perform a more exhaustive evaluation of Swedish municipalities. The work focuses on leakages of personally...

Some web usage mining algorithms showed the potential application to find the difference among the organizations expected by visitors to the website. However, there are still no efficient method and criterion for a web administrator to measure the performance of the modification. In this paper, we developed an AntWeb, a model inspired by ants’ behavior to simulate the sequence of visiting the w...

Web analytics has become an important business and market research tool for measuring and improving the effectiveness of a website. Web analytics requires to log in the database, information like the number of visitors visiting a web page or country of the visitor, some other information related to the visitor or web page. Considering the fact that some web pages attract huge traffic in relativ...

Individuals, groups and organizations host places in the World Wide Web to attract visitors, but once they have established a web presence they usually maintain little or no awareness of visiting activity. However, the standard web infrastructure supports the capture of detailed activity-related information. In the first part of this paper, we contribute a preliminary study conducted with exper...

With the introduction of Web Analytics into Web Marketing, organizations now have the opportunity to measure, track, and analyze the behavior of website users. The REAN model, standing for Reach, Engage, Activate and Nurture, appears to be the most relevant model to plan and measure activities. This model is used to set goals, objectives and define metrics in order to improve a website’s perfor...

We examine the utility of relational probabilistic methods for modeling user behavior at web sites. Web logs (aka "click streams"), taken as datasets for traditional machine learning algorithms, violate the iid assumption of most algorithms. Requests ("clicks") are not independent within a session, sessions for a visitor are not independent of one another, and page types, in their interaction w...