A System to Learn Frequent Behavioural Patterns

Abstract

Intelligent Environments (IEs) are expected to support people in their daily lives. To achieve this goal, the environment should learn how to react to the actions and needs of the users, and this should be achieved in an unobtrusive and transparent way. In order to provide personalized and adapted services, it is necessary to know the preferences and habits of users. Thus, the ability to learn patterns of behaviour becomes an essential aspect for the successful implementation of IEs. This paper presents a system, Learning Frequent Patterns of User Behaviour System (LFPUBS), that discovers user's frequent behaviours. LFPUBS was validated using data collected from real environments.