| Abstract: |  This Master's thesis deals with the use of artificial intelligence methods for user's action prediction in an environment of a smart home. First, the term smart home is defined followed by a brief introduction of the subject area. Then, a description of a program for user's action generation is provided. In the next section there is a discussion of algorithms suitable for prediction in a smart home environment. Following the discussion of algorithms, specifications of implemented method – association rules – are described. The last section looks at performed experiments using the afo-resaid action generator. All methods have been implemented in Microsoft Visual Studio 2008, in C#.
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