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The technological advances in smartphones and their widespread use has resulted in the big volume and varied types of mobile data which we have today. Location prediction through mobile data mining leverages such big data in applications such as traffic planning, location-based advertising, intelligent resource allocation; as well as in recommender services including the popular Apple Siri or Google Now. This paper, focuses on the challenging problem of predicting the next location of a mobile user given data on his or her current location. In this work, we propose NextLocation - a personalised mobile data mining framework - that not only uses spatial and temporal data but also other contextual data such as accelerometer, bluetooth and call/sms log. In addition, the proposed framework represents a new paradigm for privacy-preserving next place prediction as the mobile phone data is not shared …