Abstract
Intelligent Environments are supposed to act proactively anticipating users’ needs and preferences in order to provide effective support. Therefore, learning users’ frequent behaviours is essential to provide such personalized services. In that sense, we have developed a system, which learns those frequent behaviours. Due to the complexity of the entire learning system, this paper will focus on discovering accurate temporal relationships to define the relationships between actions of the user.
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Aztiria, A., Augusto, J.C., Basagoiti, R., Izaguirre, A. (2010). Accurate Temporal Relationships in Sequences of User Behaviours in Intelligent Environments. In: Augusto, J.C., Corchado, J.M., Novais, P., Analide, C. (eds) Ambient Intelligence and Future Trends-International Symposium on Ambient Intelligence (ISAmI 2010). Advances in Soft Computing, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13268-1_3
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DOI: https://doi.org/10.1007/978-3-642-13268-1_3
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