Titlebook: Designing Smart Homes; The Role of Artifici Juan Carlos Augusto,Chris D. Nugent Book 2006 Springer-Verlag Berlin Heidelberg 2006 Smart Home

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Temporal Data Mining for Smart Homes,handling and analyzing temporal data generated by smart-home environments. Temporal data mining in general fits into a two level architecture, where initially a transformation technique reduces data dimensionality in the first level and indexing techniques provide efficient access to the data in the

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Application of Decision Trees to Smart Homes,d the corresponding models are both predictive and descriptive. We formulate the modelling problem by defining the generic question “Is the undergoing activity or event in the Smart Home usual?” Then we explain how it is possible to gather appropriate data from the sensors and pre-process these data

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nugatory

A Multi-agent Approach to Controlling a Smart Environment, inhabitant comfort and minimize operation cost. In order to achieve these goals, the agent must be able to predict the mobility patterns and device usages of the inhabitants. Because of the size of the problem, controlling a smart environment can be effectively approached as a multi-agent task. Ind

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Book 2006ion to a particular exemplar application scenario (provision of healthcare and safety related services to increase the quality of life) exploring the application of specific areas of AI to this scenario..

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https://doi.org/10.1007/978-3-8349-9171-3of situations occurring within this environment. This paper outlines the main temporal data mining techniques available and provides examples of where they can be applied within a smart home environment.

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