… prediction of arrival of moving user clusters or moving networks into a cell. This paper presents
prediction … such moving entities can be classified as preferential mobility based hotspot [3]…

… at mobility prediction, independently of the generating user. This generally complicates the
prediction process, as users can … Support vector machines try to classify the data by finding …

… classify the different types of context that can be predicted and exploited. For each one, we
highlight the most popular prediction … application/use of the proposed mobility prediction tool. …

… This study attempted to use classical methodologies by combining LSTM and DBSCAN …
This study was successfully conducted a human mobility prediction using GeoLife GPS …

… Moreover, predicting the future user positions we could provide information to a driver
about … approaches proposed in the literature can be classified on the basis of the prediction …

… based prediction techniques, the user mobility pattern is … Here, users are classified into
different categories. The main … location prediction scheme that could reflect changes in user’s …

… communication environment, the work of [103] study a scheme which uses Fuzzy C-Means
algorithm and user mobility prediction model to classify mobile users into center and edge …

… Considering that the BS to which the user will hand over must be one among the NBS …
classification task and we design a supervised learning framework to carry it out. The classification …

… contextual data, and give an overview about their use for mobility prediction. … classification
of mobility prediction is based, we propose a classification based solely on existing prediction …

… to classify location-based social network data and predict user … The analysis of user activities
and behavior from location-… to predict nominal variables and fits our data for classification…