Learning Accurate Temporal Relations from User Actions in Intelligent Environments

摘要

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.