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In real life mobile users shows a non random movement behavior. On a daily basis the user travels in a well defined area and only occasionally it travels to new area. This feature can be extracted and used to predict the next location of the user, which can reduce a lot of cost incurred by the network in searching a user. In this present paper for prediction of user's location, movement based model is prepared and with the support of neural network user's path and location is tracked in an optimal way.
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