[HTML][HTML] Mobility prediction using a weighted Markov model based on mobile user classification
The vast amounts of mobile communication data collected by mobile operators can provide
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …
important insights regarding epidemic transmission or traffic patterns. By analyzing historical …
A hybrid Markov-based model for human mobility prediction
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …
distributions. Predicting human mobility has the potential to enhance location-based …
Big data driven hidden Markov model based individual mobility prediction at points of interest
With the emergence of smartphones and location-based services, user mobility prediction
has become a critical enabler for a wide range of applications, like location-based …
has become a critical enabler for a wide range of applications, like location-based …
Predictability and prediction of human mobility based on application-collected location data
In the modern information society, analysis of human mobility becomes increasingly
essential in various areas such as city planning and resource management. With users' …
essential in various areas such as city planning and resource management. With users' …
Attentional Markov model for human mobility prediction
Accurate human mobility prediction is important for many applications in wireless networks,
including intelligent content caching and prefetching, network optimization, etc. However …
including intelligent content caching and prefetching, network optimization, etc. However …
Mobility prediction: A survey on state-of-the-art schemes and future applications
H Zhang, L Dai - IEEE access, 2018 - ieeexplore.ieee.org
Recently, mobility has gathered tremendous interest as the users' desire for consecutive
connections and better quality of service has increased. An accurate prediction of user …
connections and better quality of service has increased. An accurate prediction of user …
A probabilistic kernel method for human mobility prediction with smartphones
Human mobility prediction is an important problem that has a large number of applications,
especially in context-aware services. This paper presents a study on location prediction …
especially in context-aware services. This paper presents a study on location prediction …
Cell phone subscribers mobility prediction using enhanced markov chain algorithm
This article presents a mobility prediction method for mobile phone users based on an
enhanced Markov Chain algorithm. The mobile phone data has a highly dynamic nature and …
enhanced Markov Chain algorithm. The mobile phone data has a highly dynamic nature and …
Movement prediction in wireless networks using mobility traces
Wireless user-mobility prediction has been investigated from various angles to improve
network performance. Student populations in campuses, pedestrian and vehicular …
network performance. Student populations in campuses, pedestrian and vehicular …
A data mining approach for location prediction in mobile environments
G Yavaş, D Katsaros, Ö Ulusoy… - Data & Knowledge …, 2005 - Elsevier
Mobility prediction is one of the most essential issues that need to be explored for mobility
management in mobile computing systems. In this paper, we propose a new algorithm for …
management in mobile computing systems. In this paper, we propose a new algorithm for …