Social Data Mining through Distributed Mobile Sensing

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In this article, we present a distributed framework for collecting and analyzing environmental and location data recorded by human users (carriers) with the use of portable sensors.

• We demonstrate the data mining analysis potential among the recorded environmental and location variables, as well as the potential for classification analysis of human activities.
• We recognize that the success of such an experimental framework relies on the adoption rate by its candidate user network; thus, we have built our experimental prototype on top of hardware equipment already embedded within the potential users' everyday routine - i.e.
• hardware sensors installed on modern mobile phones.