DocumentCode
1807426
Title
An research review on clustering analysis for spatio-temporal trajectories of moving point objects
Author
Zhao Xiuli
Author_Institution
Shandong Polytech. Univ., Jinan, China
Volume
4
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
2686
Lastpage
2690
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182521
Filename
6182521
Link To Document