WhereNext: a location predictor on trajectory pattern mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Location prediction within the mobility data analysis environment DAEDALUS
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
Mining trajectory profiles for discovering user communities
Proceedings of the 2009 International Workshop on Location Based Social Networks
MOIR/MT: monitoring large-scale road network traffic in real-time
Proceedings of the VLDB Endowment
Effectively indexing uncertain moving objects for predictive queries
Proceedings of the VLDB Endowment
Mining periodic behaviors for moving objects
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Path prediction and predictive range querying in road network databases
The VLDB Journal — The International Journal on Very Large Data Bases
An online framework for publishing privacy-sensitive location traces
Proceedings of the Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access
A location predictor based on dependencies between multiple lifelog data
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
A regression-based approach for mining user movement patterns from random sample data
Data & Knowledge Engineering
MoveMine: Mining moving object data for discovery of animal movement patterns
ACM Transactions on Intelligent Systems and Technology (TIST)
A framework of mining semantic regions from trajectories
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Human mobility, social ties, and link prediction
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern-based moving object tracking
Proceedings of the 2011 international workshop on Trajectory data mining and analysis
Trajectory anonymity in publishing personal mobility data
ACM SIGKDD Explorations Newsletter
Synthesizing routes for low sampling trajectories with absorbing Markov chains
WAIM'11 Proceedings of the 12th international conference on Web-age information management
MOVIES: indexing moving objects by shooting index images
Geoinformatica
Discovering personalized routes from trajectories
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Balloon: representing and querying the near future movement of predictive moving objects
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Semantics and Ontologies
Semantic trajectory mining for location prediction
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Frequent route based continuous moving object location- and density prediction on road networks
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mining periodic behaviors of object movements for animal and biological sustainability studies
Data Mining and Knowledge Discovery
PNN query processing on compressed trajectories
Geoinformatica
A Kalman filter updating method for the indoor moving object database
Expert Systems with Applications: An International Journal
Predictability of individuals' mobility with high-resolution positioning data
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Predicting future locations with hidden Markov models
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Panda: a predictive spatio-temporal query processor
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
A generic data model for moving objects
Geoinformatica
When and where next: individual mobility prediction
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Predictive spatio-temporal queries: a comprehensive survey and future directions
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Discovering hot topics from geo-tagged video
Neurocomputing
QS-STT: QuadSection clustering and spatial-temporal trajectory model for location prediction
Distributed and Parallel Databases
A data-driven approach for convergence prediction on road network
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
Exploring pattern-aware travel routes for trajectory search
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
A “semi-lazy” approach to probabilistic path prediction in dynamic environments
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Inferring distant-time location in low-sampling-rate trajectories
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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
MNTG: an extensible web-based traffic generator
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
Incremental Frequent Route Based Trajectory Prediction
Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science
iRoad: a framework for scalable predictive query processing on road networks
Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment
Data centric research at the University of Queensland
ACM SIGMOD Record
Mining geographic-temporal-semantic patterns in trajectories for location prediction
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Efficient location aware intrusion detection to protect mobile devices
Personal and Ubiquitous Computing
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Existing prediction methods in moving objects databases cannot forecast locations accurately if the query time is far away from the current time. Even for near future prediction, most techniques assume the trajectory of an object's movements can be represented by some mathematical formulas of motion functions based on its recent movements. However, an object's movements are more complicated than what the mathematical formulas can represent. Prediction based on an object's trajectory patterns is a powerful way and has been investigated by several work. But their main interest is how to discover the patterns. In this paper, we present a novel prediction approach, namely The Hybrid Prediction Model, which estimates an object's future locations based on its pattern information as well as existing motion functions using the object's recent movements. Specifically, an object's trajectory patterns which have ad-hoc forms for prediction are discovered and then indexed by a novel access method for efficient query processing. In addition, two query processing techniques that can provide accurate results for both near and distant time predictive queries are presented. Our extensive experiments demonstrate that proposed techniques are more accurate and efficient than existing forecasting schemes.