Mobile data analytics

Abstract

With the rapid advancement of mobile devices and location acquisition technologies, more and more large-scale location-based data have been available for data analytics and realizing new location-aware services. Various large-scale location-based data including user-generated data in location-based social networks (LBSNs) and GPS data reported from vehicles or sensors have led to research challenges and opportunists in location-based services, intelligent transportation systems, geographic information systems, urban computing, and smart cities. Different computer science techniques, e.g., data mining, machine learning, artificial intelligence, and spatial and spatio-temporal databases, can be used or combined to address such challenges.