A System to Learn Frequent Behavioural Patterns

Author

Aztiria, Asier ; Basagoiti, Rosa ; Augusto, Juan Carlos ; Espejo, Gonzalo

Author_Institution

Electron. & Comput. Dept., Mondragon Univ., Mondragon, Spain

fYear

2012

fDate

26-29 June 2012

Firstpage

363

Lastpage

366

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.

Keywords

behavioural sciences computing; learning (artificial intelligence); frequent behavioural pattern; frequent pattern learning; intelligent environment; machine learning; user behaviour system; Artificial intelligence; Calendars; Data mining; Educational institutions; Graphical user interfaces; Sensors; Topology; Frequent behaviours; Intelligent Environments; Machine learning techniques;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Environments (IE), 2012 8th International Conference on

Conference_Location

Guanajuato

Print_ISBN

978-1-4673-2093-1

Type

conf

DOI

10.1109/IE.2012.33

Filename

6258553