Mobility prediction using a weighted Markov model based on mobile user classification

M Yan, S Li, CA Chan, Y Shen, Y Yu - Sensors, 2021 - mdpi.com
… 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

Self-supervised human mobility learning for next location prediction and trajectory classification

F Zhou, Y Dai, Q Gao, P Wang, T Zhong - Knowledge-Based Systems, 2021 - Elsevier
… 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 …

Mobility prediction: A survey on state-of-the-art schemes and future applications

H Zhang, L Dai - IEEE access, 2018 - ieeexplore.ieee.org
… 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 …

Mobile user location prediction based on user classification and markov model

Y Li, L Lei, M Yan - … Joint Conference on Information, Media and …, 2019 - ieeexplore.ieee.org
… 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 …

Mobile data traffic prediction by exploiting time-evolving user mobility patterns

F Sun, P Wang, J Zhao, N Xu, J Zeng… - … on mobile …, 2021 - ieeexplore.ieee.org
… In a wireless network, given the mobile data traffic histories of network units and mobile
usersmobility trajectories, our goal is to predict the mobile data traffic of network units in future …

Mining user mobility features for next place prediction in location-based services

A Noulas, S Scellato, N Lathia… - 2012 IEEE 12th …, 2012 - ieeexplore.ieee.org
mobile applications and services. In this work we study the problem of predicting the next
venue a mobile user … power offered by different facets of user behavior. We first analyze about …

Prediction of user app usage behavior from geo-spatial data

X Zhao, Y Qiao, Z Si, J Yang, A Lindgren - Proceedings of the Third …, 2016 - dl.acm.org
… 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 …

Deepmove: Predicting human mobility with attentional recurrent networks

J Feng, Y Li, C Zhang, F Sun, F Meng, A Guo… - Proceedings of the 2018 …, 2018 - dl.acm.org
… 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 …

Human mobility, social ties, and link prediction

D Wang, D Pedreschi, C Song, F Giannotti… - Proceedings of the 17th …, 2011 - dl.acm.org
… , and can we predict more precisely whether two users u and v … of their network proximity
and mobile homophily? Our key … Another dimension of our study is the kind of classification

Smart city mobility application—gradient boosting trees for mobility prediction and analysis based on crowdsourced data

I Semanjski, S Gautama - Sensors, 2015 - mdpi.com
classification matrix gives an overview of correctly classifiedpredicted which transportation
mode the user will select and when not. Figure 4 shows the histogram of the classification