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Anticipating users' actions and automating them is an important goal in intelligent environments. This work presents IntelliDomo's learning algorithm, a data mining approach applied to home automation systems. This algorithm is able to acquire users' habits just by processing the data collected from the full environment. IntelliDomo can generate production rules for each behavior pattern in order...
In this paper, we present a system that exploits the semantics of events that are traditionally stored in simple agendas to control appliances and other ordinary devices in the home. Our approach is based on representing the content of agendas using an expressive and semantic modeling language and on implementing the system on top of the Amigo context management service. This approach makes it possible...
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