… prediction model was based on a cluster-based prediction strategy. Their model evaluates
the next location of a mobile user … for all of the machine learning methods -the ones trained in …

… attempted to recognize and predict locations by various methods, but only few … the mobile
platform. In this paper, we propose a location recognition and prediction system in smartphone …

… In this work we address the issue of predicting a mobile phone user’s age and gender from
their app download and usage behaviors shared by a mobile data platform [11] by means of …

… address these issues and present a robust prediction model for real-life mobile phone data
of individual users… , we compare the prediction results of existing approaches with our model, …

… better location based services and to recalculate paths in Mobile … framework is presented
which predicts user mobility in presence … of a mobile user on the fly to predict the future location. …

… machine-learning methods that can be used to classify the LBSN data into the most commonly
used venue categories and predict … is based on data from mobile phones or some of the …

… – including networN, application and end-user layers, we taNe a practical approach and
provide models to map networN traffic QoS metrics to QoE directly. We do so to maximize the …

… The section describes the stages involved in the proposed framework for forecasting a
mobile user's next location. The framework covers feature point extraction, identification of …

… involve predicting the network performance at locations or … with the types of prediction
problems considered throughout … how machine learning methods perform on these prediction …

… predicting the next location of tourists based on CDR using machine learning and deep learning
methods… The raw data only shows basic user information (phone carrier and phone type)…