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.