TY - CONF T1 - Find Your Way Back: Mobility Profile Mining with Constraints T2 - Principles and Practice of Constraint Programming Y1 - 2015 A1 - Lars Kotthoff A1 - Mirco Nanni A1 - Riccardo Guidotti A1 - Barry O'Sullivan AB - Mobility profile mining is a data mining task that can be formulated as clustering over movement trajectory data. The main challenge is to separate the signal from the noise, i.e. one-off trips. We show that standard data mining approaches suffer the important drawback that they cannot take the symmetry of non-noise trajectories into account. That is, if a trajectory has a symmetric equivalent that covers the same trip in the reverse direction, it should become more likely that neither of them is labelled as noise. We present a constraint model that takes this knowledge into account to produce better clusters. We show the efficacy of our approach on real-world data that was previously processed using standard data mining techniques. JF - Principles and Practice of Constraint Programming PB - Springer International Publishing CY - Cork ER -