Knowledge extraction from mobile user data analyzes data collected from mobile users, such as their user movement data in order to derive useful knowledge. User movement data is stored in a database which records the (x, y) coordinates that users have visited at any given point of time, for each mobile users. In this paper, we present a novel method for mining 2 step walking pattern from mobile users. The result of 2 step walking pattern provides the knowledge of how mobile users walks from one location of interest (LOI) to another in any given 2 steps. Case study for Walking-Matrix and Walking-Graph are provided along with performance evaluation.
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