Title :
An research review on clustering analysis for spatio-temporal trajectories of moving point objects
Author_Institution :
Shandong Polytech. Univ., Jinan, China
Abstract :
As an information extraction technology, clustering analysis for spatio-temporal trajectories of moving point objects focuses on spatial and temporal distribution and principle of group movement behavior. Potential applications span a wide spectrum such as meteorology, traffic engineering, wildlife migration, mobile network allocation and logistics. Firstly some concepts related to clustering analysis for spatio-temporal trajectories of moving point objects are introduced. Then the current research progresses of this filed are elaborately summarized. Finally the open research problems are pointed out. Clustering analysis for spatio-temporal trajectories of moving point objects is a novel research field and many issues need to be solved. The review research on this topic has great theoretical and practical value.
Keywords :
data mining; information retrieval; pattern clustering; spatiotemporal phenomena; clustering analysis; group movement behavior; information extraction technology; moving point objects; spatial distribution; spatio-temporal trajectories; temporal distribution; Equations; Mathematical model; clustering analysis; moving point objects; spatio-temporal data mining;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182521