The proposed system, Learning Frequent Patterns of User Behaviour System (LFPUBS), is based on a three-layered architecture that takes into account all aspects related to the learning process. This system has been used to discover patterns of user's behaviours and represent them in a comprehensible way. The core of the representation module is a language (LLFPUBS) that provides a standard conceptualization of the patterns so that the environment is able to represent all type of patterns that can occur in the environment. The process of discovering is based on an algorithm (ALFPUBS) that takes into account for characteristics of the Intelligent Environments’ attempts to discover frequent patterns. More information can be found in: Asier Aztiria, Juan Carlos Augusto, Rosa Basagoiti, Alberto Izaguirre and Diane J. Cook "Learning frequent behaviours of the users in Intelligent Environments" IEEE Transactions on Systems Man and Cybernetics: Systems, 43 (6). pp. 1265-1278. ISSN 2168-2216
This system has been modified in order to automate IE and connect with M-reasoner.
The proposed system was develped by Asier Aztiria Goeneaga as his PhD thesis. He is a lecturer at the University of Mondragon’s Polytechnical Engineering School. He can be contacted at [email protected]
This system has been modified by Estibalitz Aranbarri as her Final Year Project. She is a Biomedical Engineering student at the the University of Mondragon’s Polytechnical Engineering School. She can be contacted at [email protected]