… To improve prediction accuracy, this paper proposes … prediction model based on mobile
user classification. The trajectory information of a user is extracted first by analyzing real mobile …

… Human mobility prediction, which aims to predict where a user will arrive in the near future,
is a fundamental task that can benefit many areas, such as controlling the spread of infectious …

… and providing the readers with a comprehensive understanding and classification of not only
… In Section IV, the state of the art in user mobility prediction is provided and we also analyze …

… data of all users, in this paper, we propose a location prediction method based on the mobile
user classification. Firstly, we propose the user classification criteria and the corresponding …

… In a wireless network, given the mobile data traffic histories of network units and mobile
users’ mobility trajectories, our goal is to predict the mobile data traffic of network units in future …

… of human mobility extracted from geo-spatial data in mobile … of mobility attributes (eg location,
travel pattern, and mobility … and inputting them into a classification model. We evaluate our …

… [17] used an ExpectationMaximisation [14] (EM) algorithm to generate DTMCs that classify
user activity patterns for their iOS app, Hungry Yoshi. The approach taken is very similar to …

… from the limited discrete location list can be regarded as a multi-classification problem, we …
Finally, we identify every single user with a user ID and add user ID embedding feature to the …

… user’s own history mobility pattern cannot predict his next location, we use the mobility pattern
of his geo-friends to predict … a user-based recommendation method to predict user mobility …

… mobility has a close relationship with users’ social contexts as well as urban geography and
spatial constraints. For example, mobile users which … • We classify human mobility prediction …