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In this paper, we examine user registration patterns in empirical WLAN traces, and identify elusive associations that are abused as user movements. The examination shows that about 90% of transitions are irrelevant to actual user movements. In order to refine the elusive movements, we investigate the geographical relationships among APs and propose a filtering framework for removing them from the trace data. We then analyze the impact of the false movements on an empirical mobility model. The numerical results indicate that the proposed framework improves the fidelity of the empirical mobility model.