Discovering Frequent Sets of Actions in Intelligent Environments

摘要

Intelligent Environments depend on their capability to understand and anticipate user's habits and needs. Therefore, learning user's common behaviours becomes an important step towards allowing an environment to provide such personalized services. We have developed a system which learns user's patterns taking into account the special features of Intelligent Environments. Due to the complexity of the system, this paper will focus on a specific part of such a system, the module that discovers what sets of actions are frequently carried out by the user.