Managing uncertainty: modeling users in location-tracking applications

Uncertainty-management techniques that ignore the distinctiveness of individuals will either fail or incur a high cost in system resources. Location-tracking applications must consider the individual user´s characteristics, habits, and preferences to estimate his or her location more effectively. We discuss human-controlled moving objects, called roving users. A typical RU application tracks each RU´s location to answer queries about the person´s whereabouts at any particular time. We also discuss about the belief networks that models the user habits. We also discuss about the belief networks that models the user habits.