In order to understand web-based application user behavior, web usage mining applies
unsupervised learning techniques to discover hidden patterns from web data that captures …

This paper introduces a new method for the session construction problem, which is the first
main step of the Web usage mining process. The proposed method defines user sessions as …

This work takes place in the context of conversion rate optimization by enhancing the user
experience during navigation on e-commerce web sites. The requirement is to be able to …

There is increasing interest in identifying users and behaviour profiling from network traffic
metadata for traffic engineering and security monitoring. However, user identification and …

With the rapid growth of online activities more marketers have switched their attentions to
target the potential customer through the internet. As one of the growing popular online …

This thesis explored the application of sequence alignment in web usage mining, including
user clustering and web prediction and recommendation. This topic was chosen as the …

Abstract The expansion of World Wide Web (WWW) in its size and exponential growth of its
users has made the web most powerful and dynamic medium for information dissemination …

When making strategic decisions in a business setting it is advantageous to know as much
about the users of your products as possible. Information about what interest segments exist …