Abstract. Modeling the information relevant to mobile users has pri-marily focused on the current activity location and occasionally the im-mediate next activity. We suggest a more forward-looking approach may provide additional insight as to what is relevant to a user beyond their immediate surroundings. We empirically demonstrate modeling what ac-tivities are currently being planned and the time frame for how far in the future the activity will be executed can be made with high precision and recall.
In the mobile environment, the location and the next move of subscribers are important. In this stud...
Abstract. The goal of this work is a unified approach for collecting data about user actions on mobi...
This project serves to provide an analysis on GPS data and external information like the calls and m...
Mobile phones are becoming increasingly popular as a means of information access while on-the-go. Mo...
Abstract—This paper proposes a location prediction modelthat can be used for predicting a moving rou...
Mobile geographic information seeking systems are often employed to support spatial activities in an...
For a decade and more, the Number of smart phone users count increasing day by day. With the drastic...
Mobile analytics has emerged as a recent phenomenon in the last couple of years stemming from the st...
Understanding human mobility patterns is a significant research endeavour that has recently received...
Providing mobile users with relevant and up-to-date information on the move through wireless communi...
Every day, billions of mobile network log data (commonly defined as Call Detailed Records, or CDRs) ...
Summary. In this paper we present a work in progress dedicated to the recognition and prediction of ...
Investigation on anticipating developments of cell phone consumers has pulled in a great deal of con...
Abstract. Although various location-sensing techniques and services have been developed, most of the...
Human geospatial activities often involves the use of geographic information in mobile environment w...
In the mobile environment, the location and the next move of subscribers are important. In this stud...
Abstract. The goal of this work is a unified approach for collecting data about user actions on mobi...
This project serves to provide an analysis on GPS data and external information like the calls and m...
Mobile phones are becoming increasingly popular as a means of information access while on-the-go. Mo...
Abstract—This paper proposes a location prediction modelthat can be used for predicting a moving rou...
Mobile geographic information seeking systems are often employed to support spatial activities in an...
For a decade and more, the Number of smart phone users count increasing day by day. With the drastic...
Mobile analytics has emerged as a recent phenomenon in the last couple of years stemming from the st...
Understanding human mobility patterns is a significant research endeavour that has recently received...
Providing mobile users with relevant and up-to-date information on the move through wireless communi...
Every day, billions of mobile network log data (commonly defined as Call Detailed Records, or CDRs) ...
Summary. In this paper we present a work in progress dedicated to the recognition and prediction of ...
Investigation on anticipating developments of cell phone consumers has pulled in a great deal of con...
Abstract. Although various location-sensing techniques and services have been developed, most of the...
Human geospatial activities often involves the use of geographic information in mobile environment w...
In the mobile environment, the location and the next move of subscribers are important. In this stud...
Abstract. The goal of this work is a unified approach for collecting data about user actions on mobi...
This project serves to provide an analysis on GPS data and external information like the calls and m...