Mining multi-object spatial-temporal movement patterns
Htoo Htet Aung, Kian‐Lee Tan · SIGSPATIAL Special · 2012
In this paper, we present an ongoing PhD research on mining M ulti-object S patial- t emporal M ovement Patterns (M-STEM Patterns) from a T rajectory D ata b ase (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.