I. Introduction
Mining and prediction of mobile movement is one of the most important challenges for mobility management in a mobile computing system. By knowing the next movement of a user, resources can be efficiently allocated to the most possible location, rather than the blind resource allocation. Efficient resource allocation to mobile users would lead to higher resource utilisation and lower latency in accessing the resources. In addition, predicting the subsequent location can provide the insights for many existing pervasive applications, such as targeted advertising and service recommendation [1].