Summary: Learning Accurate Temporal Relations from
User Actions in Intelligent Environments
Juan C. Augusto2
and Diane Cook3
University of Mondragon, Mondragon, Spain
University of Ulster, Jordanstown, United Kigndom email@example.com
Washington State University, Pullman, Washington, U.S.A firstname.lastname@example.org
Summary. Ambient Intelligence environments depend on their capability to learn
user's preferences and typical behavior. In this paper we present an algorithm that
taking as starting point information collected by sensors finds out accurate temporal
relations among actions carried out by the user.
Ambient Intelligence (AmI)    can be understood as `a digital envi-
ronment that proactively, but sensibly, supports people in their daily lives' .