Efficient mining behavior patterns of user movement in a mobile service environment

Mobile service systems offer useful information to users through mobile devices. Mobile service systems have the capability of effectively mining a special request from abundant data based on user movement behavior patterns. UMBPs which includes U(mobile user), L(location), T(timestamp) and S(service request). Effective mining can be performed by introducing standard graph-matching algorithms along with the primitives of a database management system, which comprises grouping, sorting, and joining operations. Moreover, by mining the associated structure via maximum weight bipartite graph matching, a prediction mechanism, based on the model of UMBPs, is used to find strong relationships among U, L, T and S. This paper aimed at mining mobile User Movement Behavior Patterns such that movement locations associated with suitable services could be predicted and recommended for users.