Mining numerical traces to extract recurrent activities Application to mobile data analysis
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چکیده
Description: The constant growth of the number of connected devices, mobile phones and intuitive and natural human-machine interfaces has resulted in the democratization of ubiquitous computing and cyberphysical systems. In such systems, physical and logical sensors provide a huge amount of data that describes users' activity as well as supplementary contextual information. Assuming that context data is a strong indicator of user habits, mining numerical traces, i.e. context data sequences, to extract repetitive patterns should enable to model user activity.
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