Trajectory clustering with mixtures of regression models
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
Mining Trajectory Databases via a Suite of Distance Operators
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Finding similar users using category-based location history
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
A conceptual data model for trajectory data mining
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Surprising patterns for the call duration distribution of mobile phone users
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Smart itinerary recommendation based on user-generated GPS trajectories
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
On discovering moving clusters in spatio-temporal data
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
A Query Language for Mobility Data Mining
International Journal of Data Warehousing and Mining
Unveiling the complexity of human mobility by querying and mining massive trajectory data
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient distributed computation of human mobility aggregates through user mobility profiles
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Several remarks on mining frequent trajectories in graphs
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Mega-modeling for big data analytics
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Ride-Sharing: a multi source-destination path planning approach
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Optimal Spatial Resolution for the Analysis of Human Mobility
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Inferring human mobility patterns from taxicab location traces
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Towards mega-modeling: a walk through data analysis experiences
ACM SIGMOD Record
Generalized multipath planning model for ride-sharing systems
Frontiers of Computer Science: Selected Publications from Chinese Universities
On the Management and Analysis of Our LifeSteps
ACM SIGKDD Explorations Newsletter
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In this paper we introduce a methodology for extracting mobility profiles of individuals from raw digital traces (in particular, GPS traces), and study criteria to match individuals based on profiles. We instantiate the profile matching problem to a specific application context, namely proactive car pooling services, and therefore develop a matching criterion that satisfies various basic constraints obtained from the background knowledge of the application domain. In order to evaluate the impact and robustness of the methods introduced, two experiments are reported, which were performed on a massive dataset containing GPS traces of private cars: (i) the impact of the car pooling application based on profile matching is measured, in terms of percentage shareable traffic; (ii) the approach is adapted to coarser-grained mobility data sources that are nowadays commonly available from telecom operators. In addition the ensuing loss in precision and coverage of profile matches is measured.