ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Recognition of emergent human behaviour in a smart home: A data mining approach
Pervasive and Mobile Computing
Automation intelligence for the smart environment
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Keeping the resident in the loop: adapting the smart home to the user
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Managing Adaptive Versatile environments
Pervasive and Mobile Computing
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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 to anticipate the user's periodic actions. This paper presents the fundamentals of this algorithm together with the description of the main parameters used.