Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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
On-line discovery of hot motion paths
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Convoy Queries in Spatio-Temporal Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
On-line discovery of flock patterns in spatio-temporal data
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Finding long and similar parts of trajectories
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Swarm: mining relaxed temporal moving object clusters
Proceedings of the VLDB Endowment
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Semantic trajectory mining for location prediction
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
On discovering moving clusters in spatio-temporal data
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
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In this paper, we present an ongoing PhD research on mining Multi-object Spatial-temporal Movement Patterns (M-STEM Patterns) from a Trajectory Database (TJDB). Information of the M-STEM Pattern instances has numerous applications in epidemiology, ecology, location-based services, transportation, and social and behaviour sciences since it supplements the information provided by a traditional GIS. We describe the research we had conducted to find instances of two M-STEM Patterns, namely the Meeting pattern and the Convoy pattern. We conclude this paper after introducing our ongoing research on discovering instances of another M-STEM pattern called Tried-and-True Route pattern.