Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Periodic properties of user mobility and access-point popularity
Personal and Ubiquitous Computing
Mining call and mobility data to improve paging efficiency in cellular networks
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Context-aware Battery Management for Mobile Phones
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
What did you do today?: discovering daily routines from large-scale mobile data
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Activity Inference through Sequence Alignment
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Predestination: inferring destinations from partial trajectories
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
How smart is your smartcard?: measuring travel behaviours, perceptions, and incentives
Proceedings of the 13th international conference on Ubiquitous computing
Mining complex activities in the wild via a single smartphone accelerometer
Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
On mining mobile apps usage behavior for predicting apps usage in smartphones
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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The mobile phone offers a unique opportunity to predict a person's behaviour automatically for advanced ubiquitous services. In this note, we analyse cellular data collected as part of the Reality Mining project and use information-theoretic concepts to answer three questions (i) What time points in the day help predict a mobile phone user's activity at another time point? (ii) What time points in history are most useful to predict his future activities? and (iii) How difficult is it to predict his activity at a given time from another user's activity at another time?