TRAcME: Temporal Activity Recognition Using Mobile Phone Data
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 01
Foundations of Semantic Web Technologies
Foundations of Semantic Web Technologies
Activity-aware map: identifying human daily activity pattern using mobile phone data
HBU'10 Proceedings of the First international conference on Human behavior understanding
Multidimensional relevance: Prioritized aggregation in a personalized Information Retrieval setting
Information Processing and Management: an International Journal
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
The geography of taste: analyzing cell-phone mobility and social events
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Identifying users profiles from mobile calls habits
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
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The pervasiveness of mobile phones creates an unprecedented opportunity for analyzing human dynamics with the help of the data they generate. This enables a novel human-driven approach for service creation in a variety of domains (e.g., healthcare, transportation, etc.) Telecom operators own and manage billions of mobile network events (Call Detailed Records - CDRs) per day: interpreting such a big stream of data needs a deep understanding of the events' context through the available background knowledge. We introduce an ontological and stochastic model (HRBModel) to interpret mobile human behavior using merged mobile network data and the geo-referenced background knowledge (e.g., OpenStreetMap, etc.) The model characterizes locations with human activities that can happen (with a given likelihood) there. This allows us to predicatively compile sets of tasks that people are likely to engage in under certain contextual conditions or to characterize exceptional events detected from anomalies in the CDR. An experimental evaluation of the approach is presented.