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attributes must be shared to have at every node a more accurate estimation of the global classifier. When expanding the knowledge of the local classifiers, to reduce costs, the network traffic should be kept to a minimum. We propose a probabilistic model for a keyword selection method which makes a more thorough analysis
topic and their attributes have to be shared to have a more accurate estimation of the global classifier at every node. The network traffic should be kept at a minimum to reduce costs. We propose a probabilistic model for a keyword selection method, which makes a more thorough analysis possible and can be considered as a
The complexity of mobile device digital ecosystems is rapidly increasing. Not only the absolute number of mobile devices, but also their diversity is on an ongoing rise. Devices are equipped with multiple short-range communication technologies that are used by different applications, which can become entry points for security or privacy threats. These threats need to be addressed in an early stage,...
base stations to determine the location of the mobile. The holder's trajectory can get through the statistics of large-scale location about anonymous user. Even in the special position the mall can push information keywords and make the service management more intelligent. When mobile phones become an indispensable things
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