User behavioural patterns and reduced user profiles extracted from log files

This paper is focused on log files where one log file attribute is an originator of the recorded activity (originator is a person in our case). Hence, based on the similar attributes of people, we are able to construct models which explain certain aspects of a persons behaviour. Moreover, we can extract user profiles based on behaviour and find latent ties between users and between different user groups with similar behaviours. We accomplish this by our new approach using the methods from log mining, business process analysis, complex networks and graph theory. The paper describes the whole process of the approach from the log file to the user graph. The main focus is on the step called `The finding of user behavioural patterns´.