By applying clustering techniques, we define a novel methodology to identify Web user-sessions without requiring an a priori definition of threshold values. We ...

Abstract—We focus on the identification and definition of. “Web user-sessions”, an aggregation of several TCP connec- tions generated by the same source ...

By applying clustering techniques, we define a novel methodology to identify Web user-sessions without requiring an a priori definition of threshold values. We ...

The main goal of this paper is to exploit the property of clustering techniques to group TCP connections in order to identify web user sessions and to compare ...

By applying clustering techniques, we define a novel methodology to identify Web user-sessions without requiring an a priori definition of threshold values. We ...

A matrix- based algorithm is then developed to cluster web users such that the users in the same cluster are closely related with respect to the similarity.

Abstract—The task of clustering web sessions is to group web sessions based on similarity and consists of maximizing the intra-group similarity while ...

Through analyzing the web log data using in- depth analysis approach, important information can be recognized such us top most errors and potential visitors.

By applying clustering techniques, we define a novel methodology to identify Web user-sessions without requiring an a priori definition of threshold values. We ...

This paper deals with the problem of assessing the quality of user session clusters in order to make inferences regarding the users' navigation behavior.