A database perspective on knowledge discovery
Communications of the ACM
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Trajectory clustering with mixtures of regression models
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
The 3W Model and Algebra for Unified Data Mining
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A Theory of Inductive Query Answering
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Time-focused clustering of trajectories of moving objects
Journal of Intelligent Information Systems
Computing longest duration flocks in trajectory data
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Trajectory clustering: a partition-and-group framework
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
ATLAS: a small but complete SQL extension for data mining and data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Visual analytics tools for analysis of movement data
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
Mobility, Data Mining and Privacy: Geographic Knowledge Discovery
Computational Geometry: Theory and Applications
Mining user similarity based on location history
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
The DAEDALUS framework: progressive querying and mining of movement data
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
WhereNext: a location predictor on trajectory pattern mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Advanced knowledge discovery on movement data with the GeoPKDD system
Proceedings of the 13th International Conference on Extending Database Technology
Searching trajectories by locations: an efficiency study
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
MoveMine: mining moving object databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Movement Data Anonymity through Generalization
Transactions on Data Privacy
Anonymization of moving objects databases by clustering and perturbation
Information Systems
Human mobility, social ties, and link prediction
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining mobility user profiles for car pooling
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Hermes – a framework for location-based data management
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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
Identifying users profiles from mobile calls habits
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
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
U2STRA: high-performance data management of ubiquitous urban sensing trajectories on GPGPUs
Proceedings of the 2012 ACM workshop on City data management workshop
Mega-modeling for big data analytics
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
Studying inter-national mobility through IP geolocation
Proceedings of the sixth ACM international conference on Web search and data mining
Mining user similarity based on routine activities
Information Sciences: an International Journal
Modeling and probabilistic reasoning of population evacuation during large-scale disaster
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Inferring human mobility patterns from taxicab location traces
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Semantic trajectories modeling and analysis
ACM Computing Surveys (CSUR)
TODMIS: mining communities from trajectories
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
A review of urban computing for mobile phone traces: current methods, challenges and opportunities
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Representing positional uncertainty of individual and aggregated trajectories of moving objects
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Compact representation of GPS trajectories over vectorial road networks
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
Towards mega-modeling: a walk through data analysis experiences
ACM SIGMOD Record
From taxi GPS traces to social and community dynamics: A survey
ACM Computing Surveys (CSUR)
AllAboard: visual exploration of cellphone mobility data to optimise public transport
Proceedings of the 19th international conference on Intelligent User Interfaces
On the Management and Analysis of Our LifeSteps
ACM SIGKDD Explorations Newsletter
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The technologies of mobile communications pervade our society and wireless networks sense the movement of people, generating large volumes of mobility data, such as mobile phone call records and Global Positioning System (GPS) tracks. In this work, we illustrate the striking analytical power of massive collections of trajectory data in unveiling the complexity of human mobility. We present the results of a large-scale experiment, based on the detailed trajectories of tens of thousands private cars with on-board GPS receivers, tracked during weeks of ordinary mobile activity. We illustrate the knowledge discovery process that, based on these data, addresses some fundamental questions of mobility analysts: what are the frequent patterns of people's travels? How big attractors and extraordinary events influence mobility? How to predict areas of dense traffic in the near future? How to characterize traffic jams and congestions? We also describe M-Atlas, the querying and mining language and system that makes this analytical process possible, providing the mechanisms to master the complexity of transforming raw GPS tracks into mobility knowledge. M-Atlas is centered onto the concept of a trajectory, and the mobility knowledge discovery process can be specified by M-Atlas queries that realize data transformations, data-driven estimation of the parameters of the mining methods, the quality assessment of the obtained results, the quantitative and visual exploration of the discovered behavioral patterns and models, the composition of mined patterns, models and data with further analyses and mining, and the incremental mining strategies to address scalability.